Find Your Dream Machine Learning Job in India

Job Title: Machine Learning Engineer

Location: Bengaluru, Karnataka

About the Company:

Sustainability Economics.ai is a global organization, pioneering the convergence of clean energy and AI, enabling profitable energy transitions while powering end-to-end AI infrastructure. By integrating AI-driven cloud solutions with sustainable energy, we create scalable, intelligent ecosystems that drive efficiency, innovation, and long-term impact across industries. Guided by exceptional leaders and visionaries with decades of expertise in finance, policy, technology, and innovation, we are committed to making long-term efforts to fulfil this vision through our technical innovation, client services, expertise, and capability expansion.

Role Summary:

We are seeking a highly skilled and analytical Machine Learning Engineer to design, develop, and optimize advanced ML and optimization models that power intelligent, data-driven decision systems. The ideal candidate will focus on building predictive, prescriptive, and optimization-based solutions to solve complex real-world challenges. This role involves close collaboration with data scientists, engineers, and domain experts to build scalable, production-ready ML systems.

Key Responsibilities:

• Design, develop, and implement optimization and forecasting models for complex analytical problems.
• Apply mathematical programming (linear, nonlinear, integer, and mixed-integer optimization) to operational and decision-making scenarios.
• Build, train, and fine-tune machine learning and statistical models for regression, classification, and clustering.
• Conduct feature selection, hyperparameter tuning, and performance evaluation using systematic validation techniques.
• Integrate ML and optimization algorithms within business or system logic for intelligent decision-making.
• Collaborate with cross-functional teams to ensure models are scalable, interpretable, and production-ready.
• Stay updated with advancements in optimization algorithms, ML model architectures, and applied AI techniques.

Education & Experience:

• Bachelor's or Master's degree in Computer Science, Engineering, Applied Mathematics, or related quantitative fields.
• 1-2 years of hands-on experience in machine learning, optimization, or forecasting.
• Strong background in mathematical modeling, statistics, or operations research.
• Experience in production-grade model deployment and performance monitoring.

Skills Required:

• The candidate should have strong proficiency in Python, with practical experience for building optimization models.
• A solid understanding of linear programming, mixed-integer programming, convex optimization, stochastic optimization, and constraint programming is essential.
• The role requires experience in algorithm design, numerical methods, and sensitivity analysis for robust model development.
• The candidate should possess a strong background in operations research and optimization model formulation.
• Experience in model validation and performance tuning is required to ensure accuracy and efficiency.
• The role involves performing scenario analysis and supporting optimization-based decision-making.
• Knowledge of workflow automation and integration of optimization models with APIs will be an advantage.
• Proficiency in version control using Git.
• The candidate should demonstrate strong problem-solving and analytical thinking abilities.
• Clear documentation skills and the ability to communicate technical results effectively are essential.

What You'll Do:

• Build and train ML and optimization models for production-scale use cases.
• Design intelligent data workflows and pipelines to support predictive and prescriptive analytics.
• Collaborate with engineering and research teams to develop scalable ML solutions.
• Develop APIs and tools to make ML capabilities accessible across systems.
• Continuously monitor, maintain, and enhance model accuracy and scalability.

What you will bring

• Proven track record of implementing ML or optimization models in production environments.
• Strong mathematical and statistical foundation.
• Passion for scalable systems, automation, and applied problem-solving.
• Startup DNA bias to action, comfort with ambiguity, love for fast iteration, and flexible and growth mindset.

Why Join Us

• Shape a first-of-its-kind AI + clean energy platform.
• Work with a small, mission-driven team obsessed with impact.
• An aggressive growth path.
• A chance to leave your mark at the intersection of AI and sustainability.

Job Description

Why Lytx?:

As our Machine Learning Engineer, you will join our Applied Machine Learning Team in India, who develops machine learning and computer vision algorithms to monitor and assess the state of drivers and their environments to identify risk and improve safety for our clients. You will contribute to all aspects of the DL/ML model development and deployment cycle to improve the accuracy and throughput at reduced latency to help enhance and differentiate us as the leader in the Video Safety and Telematics industry. If this sounds like you, we encourage you to apply!

What You'll Do:

• End-to-End development of DL/ML models - prototyping, formulation, data engineering, model training, etc.
• Implement, debug, and improvise DL/ML models.
• Develop and optimize cloud/Edge deployment of DL models.
• Optimize DL models - quantization, model pruning, etc.
• Other duties as assigned.

What You'll Need:

• Bachelor's/MS degree in CS, EE, EC, or related fields
• 2+ years of experience in prototyping a given problem, surveying literature & coming up with a suitable methods & training the models using one of the DL frameworks.
• Strong understanding of core ML concepts, and hands on experience with at least 2 DL frameworks like PyTorch/TF
• Strong analytical & problem-solving skills with fundamental knowledge on relevant math, probability, and algorithms
• Experience in computer vision problems such as detection, classification, and segmentation. Additional experience with non-vision problems is a plus.
• Ability to work under minimal supervision and run structured experiments with end goal in mind.
• Ability to work in collaboration with developers on model implementation to ensure adequate system performance (latency and accuracy), security, scalability, and availability.
• Familiarity with AWS Services (EC2, Sagemaker, DynamoDB, ECR, Lambda etc.) is preferred. Experience with MLOps tools such as SageMaker, Airflow, MLFlow, H2O, etc., is a plus.
• Experience with SQL or similar DB query language.
• Experience working with large dataset / long running / distributed training.
• Experience with any low-level programming language like C/C++ or deeper understanding of system architecture.
• Strong teammate who enjoys working in a collaborative, fast-paced team-focused environment

Greetings!

One of our esteemed client Japanese multinational information technology (IT) service and consulting company headquartered in Tokyo, Japan. The company acquired Italy-based Value Team S.p.A. and launched Global One Teams.

Join this dynamic, high-impact firm where innovation meets opportunity - and take your career to new heights!

We Are Hiring: Machine Learning Engineer / Lead

Experience :- 5 to 15 Years years relevant in Machine Learning

Location :- Pune & Chennai Only (2 days / week from client office)

Shift Timing :- 01:00 PM to 10:00 PM IST

• Minimum 5+ Years experience with MLOps, or large-scale AI/DS systems

• Hands on with Python (scikit-learn, PyTorch, TensorFlow, XGBoost, etc.) and SQL

• Hands on Experience with deploying ML models at scale in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML)

• Experience with containerization (Docker, Kubernetes) & orchestration (Airflow, TFX, Kubeflow), should be familiar with CI/CD pipelines, Infrastructure-as-Code (Terraform/Helm)

• 5 to 15 years of experience in machine learning engineering, MLOps, or large-scale AI/DS systems.

• Proven track record of leading ML projects from conception to production.

• Deep expertise in Python (scikit-learn, PyTorch, TensorFlow, XGBoost) and SQL.

• Experience architecting ML systems in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML).

• Strong background in containerization (Docker, Kubernetes), orchestration (Airflow, TFX, Kubeflow), and infra-as-code (Terraform/Helm).

• Experience in big data and streaming technologies (Spark, Flink, Kafka, Hive, Hadoop).

• Hands-on experience with model observability tools (Prometheus, Grafana, EvidentlyAI) and Governance platforms (WatsonX).

• Strong understanding of ML algorithms, deep learning architectures, and statistical methods.

• Demonstrated leadership in mentoring teams and influencing technical direction.

Interested candidates, please share your updated resume along with the following details :

• Total Experience:
• Relevant Experience in Machine Learning Engineer:
• Current Loc
• Current CTC:
• Expected CTC:
• Notice Period:

We assure you that your profile will be handled with strict confidentiality.

Apply now and be part of this incredible journey

Thanks,

Syed Mohammad

Job Title: Machine Learning Engineer

Location: Bengaluru (Hybrid)

Experience: 2-6 years

About Wissen Infotech

Wissen Infotech has been a trusted leader in the IT Services industry for over 25 years, delivering high-quality solutions to a global clientele. Within Wissen, the AI Center of Excellence (AI-CoE) was conceptualized to drive cutting-edge research and innovation, enabling us to build our own products and intellectual property. This team focuses on solving complex business challenges using AI while setting new benchmarks for reliable and scalable AI solutions.

Position Overview

We are seeking a passionate Machine Learning Engineer to join our AI-CoE team. This is a unique opportunity for individuals who are software engineers at heart and are driven to design, develop, and deploy robust AI systems. You will work on innovative projects, including building agentic systems, leveraging state-of-the-art technologies to create scalable and reliable distributed systems.

Key Responsibilities

• Design and develop scalable machine learning models and deploy them in production environments.

• Build and implement agentic systems that can autonomously analyze tasks, process large volumes of unstructured data, and provide actionable insights.

• Collaborate with data scientists, software engineers, and domain experts to integrate AI capabilities into cutting-edge products and solutions.

• Develop deterministic and reliable AI systems to address real-world challenges.

• Create and optimize scalable, distributed ML pipelines.

• Perform data preprocessing, feature engineering, and model evaluation to ensure high performance and reliability.

• Stay abreast of advancements in AI technologies and incorporate them into business solutions.

• Participate in code reviews, contribute to system architecture discussions, and continuously enhance project workflows.

Required Skills and Qualifications

• Software Engineering Fundamentals: Strong foundation in algorithms, data structures, and scalable system design.

• Education: Bachelor's or Master's degree in Computer Science, Engineering, or related fields with a solid academic track record.

• Experience: 4-8 years of hands-on experience in building AI systems or machine learning applications.

• Agentic Systems: Proven experience in developing systems that utilize AI agents for automating complex workflows, analyzing unstructured data, and generating actionable outcomes.

• Programming: Proficiency in programming languages such as Python, Java, or Scala.

• AI Expertise: Experience with machine learning frameworks like TensorFlow, PyTorch, or Hugging Face libraries (e.g., for working with transformer-based models and LLMs).

• MLOps Knowledge (preferred): Familiarity with tools like MLflow, Kubeflow, Airflow, Docker, or Kubernetes.

• Cloud Platforms: Hands-on experience with AWS, Azure, or Google Cloud for deploying machine learning models.

• Big Data: Experience with data processing tools and platforms such as Apache Spark or Hadoop.

• Problem-Solving: Strong analytical and problem-solving skills, with the ability to create robust solutions for complex challenges.

• Collaboration and Communication: Excellent communication skills to articulate technical ideas effectively to both technical and non-technical stakeholders.

What We Offer

• An opportunity to work with cutting-edge AI technologies and solve challenging business problems.

• A collaborative, innovative, and inclusive work culture.

• Continuous learning opportunities and access to advanced research.

• Competitive salary and comprehensive benefits

What would you be doing/ Expected from this role?

• Collaborate with cross-functional teams including data scientists, engineers, and product managers to deliver AI-driven solutions.

• Drive the architecture of machine learning pipelines from data collection and pre-processing to model training, evaluation, and deployment.

• Implement scalable machine learning solutions using cloud infrastructure (AWS, GCP, Azure) and big data technologies (Spark, Hadoop).

• Develop and maintain model monitoring, alerting systems, and frameworks to ensure optimal performance in production.

• Stay up to date with the latest trends in AI and machine learning, identifying opportunities for innovation and improvement.

• Work on improving model interpretability, fairness, and bias mitigation in

alignment with ethical AI practices.

• Collaborate on the development of internal tools and libraries that facilitate the use of machine learning models across the organization.

• Conduct code reviews, optimize algorithms, and ensure the scalability and reliability of machine learning systems.

Preferred Skills:

• Experience in LLM technologies, computer vision and ML

algorithms. • Knowledge of data governance and ethical AI principles. • Familiarity with real-time data streaming technologies (Kafka, Flink, etc.).

Who are we looking for?

• Bachelor's degree in computer science or equivalent practical experience. • Must be able to work independently and enjoy working at a fast-paced start-up environment who is adept at experimenting with new technologies.

• Must have excellent communication (verbal & written), interpersonal, leadership, and problem-solving

skills.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world's largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions-such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows-that solve real-world infrastructure problems

- Own Key AI Features - Drive the end-to-end development of LLM-powered applications, chatbots, and optimization engines that improve operational efficiency and resilience.

- Build and deploy Agentic AI platforms and Applications enabling autonomous execution and orchestration. Develop AI-powered observability and autoscaling frameworks for large-scale distributed systems.

- Integrate AI/ML solutions into CI/CD pipelines, monitoring, and platform APIs.

- Collaborate with cross-functional engineers to deliver high-impact operational experience

- Serves as a subject matter expert on a wide range of ML techniques and optimizations.

- Mentor & Share Best Practices-Guide junior engineers and peers on ML design patterns, code quality, and experiment methodology.

Qualifications and Skills:

- Minimum bachelor's degree in Data science or a related field.

- 5+ years of experience (at least 2 years working on generative AI technologies)

- Solid understanding of transformers and modern NLP / LLM techniques; experience with fine-tuning or prompting large language models.

- Strong proficiency in Python. Additionally, exposure to Golang is a plus

-Working knowledge of deployment using Kubernetes on Cloud infrastructure is desirable.

- Proven ability to build scalable, reliable production services.

- Ability to work on tasks and projects through to completion with limited supervision.

Distinguish yourself with:

- Agentic AI Mastery-Practical experience with frameworks such as LangChain or LangGraph and a deep understanding of multi-step reasoning and planning.

- LLM Inference Optimization-Expertise in accelerating LLM inference (e.g., KV caching, quantization) to achieve low latency at scale.

- End-to-End ML Systems Ownership-A portfolio showing full lifecycle ownership, from data ingestion to monitoring and continuous improvement.

About Platform9:

Platform9 is a leader in simplifying enterprise private clouds. Our flagship product, Private Cloud Director, turns existing infrastructure into a full-featured private cloud. Enterprise IT teams can manage VMs and containers with familiar GUI tools and automated APIs in a private, secure environment.

Enterprises are selecting Platform9's Private Cloud Director to migrate away from legacy virtualization platforms because it meets all of the following enterprise requirements:

- Familiar VM management experience

- Critical enterprise virtualization features: HA, DRR, networking, scale, reliability

- Compatibility with all existing hardware environments, including 3rd-party storage

- Automated migration tooling that lowers cost barrier by 10x

Platform9 was founded by a team of VMware cloud pioneers and has over 30,000 nodes in production at some of the world’s largest enterprises, including Cloudera, EBSCO, Juniper Networks, and Rackspace. Platform9 is an inclusive, globally distributed company backed by prominent investors, committed to driving private cloud innovation and efficiency.

Roles and Responsibilities:

- Develop Intelligent AI Solutions: Leverage state-of-the-art AI technologies to build pioneering NLP and Generative AI solutions—such as Retrieval-Augmented Generation (RAG) pipelines and agentic workflows—that solve real-world infrastructure probl

What would you be doing/ Expected from this role?

• Collaborate with cross-functional teams including data scientists, engineers, and product managers to deliver AI-driven solutions.

• Drive the architecture of machine learning pipelines from data collection and pre-processing to model training, evaluation, and deployment.

• Implement scalable machine learning solutions using cloud infrastructure (AWS, GCP, Azure) and big data technologies (Spark, Hadoop).

• Develop and maintain model monitoring, alerting systems, and frameworks to ensure optimal performance in production.

• Stay up to date with the latest trends in AI and machine learning, identifying opportunities for innovation and improvement.

• Work on improving model interpretability, fairness, and bias mitigation in

alignment with ethical AI practices.

• Collaborate on the development of internal tools and libraries that facilitate the use of machine learning models across the organization.

• Conduct code reviews, optimize algorithms, and ensure the scalability and reliability of machine learning systems.

Preferred Skills:

• Experience in LLM technologies, computer vision and ML

algorithms. • Knowledge of data governance and ethical AI principles. • Familiarity with real-time data streaming technologies (Kafka, Flink, etc.).

Who are we looking for?

• Bachelor’s degree in compu

ML Engineer (LLM, Python) — AI Product Team

Experience: 3–4+ Years

Location: Remote

Employment Type: Full-time

About the Role:

We are looking for a talented Machine Learning Engineer to join our AI Product Team and help design, build, and deploy cutting-edge AI solutions on Oracle Cloud Infrastructure (OCI) . This role offers an exciting opportunity to work at the intersection of Generative AI and traditional machine learning , focusing on LLM-based applications , Retrieval-Augmented Generation (RAG) , and MLOps .

Key Responsibilities:

• Develop, deploy, and manage scalable ML infrastructure and models on OCI .
• Design and implement LLM-based solutions , emphasizing RAG architectures .
• Build, containerize, and deploy backend services (REST APIs using FastAPI or Flask ) on OCI (e.g., OKE, OCI Functions).
• Integrate conventional ML models (classification, regression, time-series) alongside LLMs in unified platforms.
• Manage the end-to-end MLOps lifecycle — from data preprocessing to model deployment and monitoring.

Required Skills:

• Proven experience as a Machine Learning Engineer .
• Hands-on experience with Cloud Services (OCI, AWS, GCP, or

We’re looking for a Machine Learning Observability Platform Engineer who’s passionate about building large-scale, reliable ML systems. You’ll help design and enhance our open-source observability platform , adding AI capabilities that power critical insights across enterprise environments.

• Build and maintain AI/ML features for an open-source Observability Platform built on Grafana and ClickHouse .
• Collaborate with SREs, service owners, and observability SMEs to ensure scalable, reliable ML model deployment.
• Design and manage data pipelines using Databricks and related tools.
• Use CI/CD and MLOps best practices to automate model deployment and testing.
• Deploy and manage ML infrastructure on AWS or Azure .
• Set up and integrate MCP servers and connect tools across observability systems.
• Establish prompt standards and develop custom MCP integrations between systems.
• Troubleshoot ML system performance and reliability using OpenTelemetry pipelines and observability metrics.

• Master’s degree in Computer Science, Engineering, or Artificial Intelligence (or equivalent experience).
• Proven experience designing, developing, and operating ML systems in production .
• Hands-on experience with
  

  Mewar Infotech Limited

  

  Today