Find Your Dream Machine Learning Job in India

BioSky is a deep-tech spacetech startup building physics-driven, satellite-AI solutions for energy, climate, and sustainability use-cases. We work at the intersection of geospatial intelligence, large-scale ML, and real-world deployment, turning multi-sensor satellite data into business-critical insights.

We're funded and backed by IIT Delhi, and selected among the Top 15 global spacetech startups by:

• Venture Catalyst Space (Australia)
• AWS Space Accelerator
• TACC+ Taiwan International Spacetech 2025

We're looking for a Founding Machine-Learning Scientist who has already built and deployed ML models in production and now wants to own the entire product ML stack-from raw satellite data to real-time APIs.

This is a zero-to-one role. You'll work on unstructured, high-impact problems and ship fast.

• Design, train, and deploy deep-learning models (CNNs, LSTM/RNNs, Transformers, GNNs) on satellite & geospatial data
• Build end-to-end ML pipelines: data ingestion feature engineering training deployment
• Work on multi-sensor data fusion (satellite + external data sources) at scale
• Own the complete ML lifecycle: experimentation, evaluation, MLOps, CI/CD, cloud inference
• Compress petabyte-scale data into millisecond-latency APIs
• Rapidly iterate models based on real product feedback-not just benchmarks

We are specifically looking for engineers who:

• Have 2-3 years of hands-on experience deploying ML models in startups or fast-moving teams
• Enjoy working with messy, unstructured, real-world data
• Think like product builders, not just model trainers
• Are comfortable with ambiguity and take full ownership
• Want to experience the early-stage startup journey deeply
• Have a long-term goal of starting their own startup and want to learn by building

• Strong fundamentals in ML, statistics, probability
• Experience with time-series and image models (ConvLSTM, Attention, Vision Transformers)
• Proficiency in Python (PyTorch / TensorFlow, scikit-learn)
• Experience building production ML systems, not just notebooks
• Bachelor's or Master's in CS, Data Science, or related fields

• Experience in geospatial ML / remote sensing / satellite imagery
• Industry-scale time-series forecasting or computer vision
• Hands-on MLOps, automation, and cloud GPU training (AWS/GCP)

• Competitive salary + Founding-team ESOPs
• End-to-end ownership of ML features and products
• Opportunity to build real-time spacetech products
• Mentorship from experts at ISRO, IIT Delhi/Bombay, Australian Space Agency, SmartSat CRC
• Flat structure, fast experimentation, strong tech infrastructure

Founded by alumni of IIT Bombay and IIM Calcutta, with prior experience at ISRO, Strategy&, PwC, and global consulting & research organizations.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

Required Skills & Experience

• 5+ years of experience in ML engineering or applied AI roles.
• Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
• Hands on experience building and deploying AI agents or intelligent automation solutions.
• Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit learn).
• Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
• Knowledge of data engineering fundamentals and distributed computing.
• Familiarity with LLMOps and techniques for managing large language models in production.

Nice to Have Skills & Experience

• Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
• Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
• Understanding of Power BI for analytics integration.
• Knowledge of Oracle or other relational databases for hybrid data solutions.

Job Description

Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver production grade AI systems.

What you will be doing

We are looking for a Data Scientist who can operate at the intersection of classical machine learning , large-scale recommendation systems , and modern agentic AI systems .

You will design, build, and deploy intelligent systems that power Glance’s personalized lock screen and live entertainment experiences. This role blends deep ML craftsmanship with forward-looking innovation in autonomous/agentic systems.

Your responsibilities will include:

Classical ML & Recommendation Systems

• Design and develop large-scale recommendation systems using advanced ML, statistical modeling, ranking algorithms, and deep learning.
• Build and operate machine learning models on diverse, high-volume data sources for personalization, prediction, and content understanding.
• Develop rapid experimentation workflows to validate hypotheses and measure real-world business impact.
• Own data preparation, model training, evaluation, and deployment pipelines in collaboration with engineering counterparts.
• Monitor ML model performance using statistical techniques; identify drifts, failure modes, and improvement opportunities.

Agentic Systems & Next-Gen AI

• Build and experiment with agentic AI systems that autonomously observe model performance, trigger experiments, tune hyperparameters, improve ranking policies

About the Company

We are a leading technology company focused on innovative solutions in the field of artificial intelligence and machine learning. Our mission is to empower businesses through cutting-edge technology and foster a culture of collaboration and creativity.

About the Role

The Machine Learning role based in Bangalore involves working with advanced tools and frameworks to develop and implement machine learning models that drive business insights and solutions.

Responsibilities

• PyTorch; Hugging Face ecosystem (transformers, datasets, sentence-transformers/SBERT); BERT/Llama families as applicable.
• LangChain for orchestration; familiarity with LangGraph/LangMem for agentic workflows (subject to approval).
• spaCy, scikit-learn; LightGBM/Flair where relevant; Optuna for HPO; SHAP for model explainability.
• Search: Elastic/OpenSearch; vector stores (FAISS/Pinecone/pgvector); docarray for embedding flows.
• Document & web data: Playwright/Selenium, Trafilatura, pypdf, pdfplumber, pdfkit; tokenization tools like tiktoken.

Qualifications

Education details: A degree in Computer Science, Data Science, or a related field is preferred.

Required Skills

• Profi

Role - ML Engineer

Experience - 3+ Yrs

Location - Bangalore

Minimum Qualifications

● Bachelor’s or Master’s degree in Science or Engineering with strong programming, critical thinking, and analytical skills.

● Strong conceptual understanding of machine learning and deep learning principles.

● Expertise in Computer Vision or Natural Language Processing (NLP).

● Hands-on experience implementing ML projects in Python using libraries like NumPy, scikit-learn, matplotlib, pandas, etc.

● Proficiency in training deep learning models using TensorFlow/Keras or PyTorch.

● Ability to write clean, efficient, and bug-free code.

● Proven ability to lead initiatives from concept to operation while navigating challenges effectively.

Preferred Qualifications

● Experience working with applications hosted on AWS or Django web frameworks.

● Familiarity with databases and web application architecture.

● Experience working with OCR tools or PDF processing libraries.

● Strong knowledge of algorithms and data structures.

● Completed academic or online specializations in Machine Learning or Deep Learning.

● Participation in competitive programming (e.g., Kaggle competitions) or contributions to open-source projects.

● Experience working with geographically distributed teams across multiple time zones.

WHO ARE WE?

We are a bunch of super enthusiastic, passionate, and highly driven people, working to achieve a common goal! We believe that work and the workplace should be joyful and always buzzing with energy!

one of India’s most trusted Cyber security product companies, is on a mission to build the world’s fastest and most reliable AI technology that identifies and resolves digital threats in real-time. The central proposition is leveraging Artificial Intelligence and Machine Learning to create a quick and reliable analysis and alert system that provides rapid detection across multiple internet sources, precise threat analysis, and prompt resolution with minimal human intervention.

Founded in 2015, headquartered at Singapore, we are proud to say that we’ve grown at a frenetic pace and have been able to achieve some accolades along the way, including:

CloudSEK’s Product Suite:

• CloudSEK XVigil constantly maps a customer’s digital assets, identifies threats and enriches them with cyber intelligence, and then provides workflows to manage and remediate all identified threats including takedown support.
• A powerful Attack Surface Monitoring tool that gives visibility and intelligence on customers’ attack surfaces. CloudSEK's BeVigil uses a combination of Mobile, Web, Network and Encryption Scanners to map and protect known and unknown assets.

Job Title: Senior Software Development Engineer/Lead ( Machine learning)

About Media.net:

Media.net is a leading online ad-tech company that develops innovative products for advertisers and publishers. Media.net has one of the most comprehensive portfolios of advertising technology in the industry across search, native, display, mobile, local, products and video. Media.net manages high-quality ad supply on over 500,000 websites and its platform and products are licensed by some of the largest publishers, ad networks and other ad tech companies worldwide.

Media.net is one of the largest contextual advertising company worldwide. Media.net has key operation centers across – North America, Europe and Asia. Media.net's US HQ is based in New York, and Global HQ in Dubai.

We are a cutting-edge AdTech company solving the industry's most complex challenges end-to-end — from real-time bidding infrastructure to ad performance optimization. We harness the power of behavioral and contextual data to drive precision and performance at scale.

What You’ll Do

• Design and implement state-of-the-art Generative AI models and predictive machine learning pipelines tailored to AdTech applications.
• Analyze and process large-scale datasets to extract insights and power intelligent decision-making in real-time environments.
• Build and maintain scalable ML systems that i

Location:

Delhi, India

Domain Focus:

AI-Driven Algorithmic Trading, Deep Learning for Time Series Analysis

Experience:

3+ years of experience in ML research for finance

International Talent:

Yes, international applicants are encouraged

Are you prepared to engineer the future of quantitative finance as a technologist at the heart of India's capital region?

We’re seeking technologists at heart who are eager to apply AI, ML, and big data to fundamentally disrupt traditional finance. These innovators seek the unique opportunity in Delhi to scale next-generation trading strategies and lead a competitive technological wave.

🔷 The Profile – Your Expertise

Experts in scalable deep learning architecture, leveraging cutting-edge AI to generate alpha from complex, high-velocity datasets.

Career Path, Projects And Performance:

• Track record of deploying ML models from ideation to live, low-latency production.
• Measurable impact on strategy by exploiting complex patterns in alternative data.
• Career focused on applying advanced research to scalable, real-world financial challenges.
• Proven success optimizing model training and inference pipelines for efficiency.

Job Role - Technical Architect - ML

Location - Mumbai/Bangalore

Must have skills:

• Experience: 10+ years
• Well-versed with AWS Cloud and AWS Machine Learning capabilities and offerings: Proven experience using AWS Sagemaker leveraging different types of data sources, Training jobs, real-time and batch Inference, and Processing Jobs.
• Hands-on experience of working with Sagemaker studio, canvas, and data wrangler.
• Experience with at least one of the workflow orchestration tools, Airflow, StepFunctions, SageMaker Pipelines, Kubeflow etc.
• Ability to collaborate with cross-functional teams such as Developers, QA, Project Managers, and other stakeholders to understand their requirements and implement solutions.
• Ability to create end to end solution architecture for model training, deployment and retraining using native AWS services such as Sagemaker, Lambda functions, etc.
• Knowledge of a variety of machine learning techniques (Supervised/unsupervised etc.) (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
• Understanding of LLM architectures ( LLaMA, Claude, Amazon Nova etc.), with a focus on their training and inference workflows
• Expertise in designing, fine-tuning, and deploying generative AI models and building agentic workflows.
• Experience with prompt engineering and

About FM:

FM is a 190-year-old, Fortune 500 commercial property insurance company of 6,000+ employees with a unique focus on science and risk engineering. Serving over a quarter of the Fortune 500 and major corporations globally, they deliver data-driven strategies that enhance resilience, ensure business continuity, and empower organizations to thrive.

FM India located in Bengaluru is a strategic location for driving FM's global operational efficiency that allows them to leverage the country’s talented workforce and advance their capabilities to serve their clients better.

Senior Machine Learning Operations Engineer

Job Summary:

This is a mid-level role on the Innovation Analytics & AIteam, responsible for managing the full machine learning lifecycle, including model deployment, versioning, and performance monitoring, to ensure the reliability and scalability of production models. This role collaborates with Solution Architects, data scientists, and cross-functional teams to design and implement robust Lops pipelines and infrastructure aligned with enterprise architecture. The role applies design patterns and engineering best practices to build maintainable, testable, and extensible systems, while integrating structured and unstructured data sources using tools like Databricks, MLFlow, Azure ML, and CI/CD pipelines. This position supports operational excellence, leads innovation efforts, and mentors

Our Company:

A fast-growing start-up headquartered in San Francisco, CA, USA in the heart of Silicon Valley. We recruit worldwide as our customer base is global. Reliable ground transportation provider, any type of vehicle globally.

Vision: Reliable ground transportation services globally with all types of vehicles.

Mission: Empower high-quality local fleets

Corporate Culture: team first

• Partner-centric
• Team collaboration,
• Never "not my job", end-to-end ownership,
• Continuous learning and improvement,
• Hard-working and pragmatic,
• Don’t be a middleman,
• Result-driven

Job title: Sr Machine Learning Engineer

Job description

• Develop and implement machine learning models using Python, SQL, and other relevant tools.
• Collaborate with cross-functional teams to identify opportunities for applying machine learning techniques to business problems.
• Conduct research and experimentation to explore new machine learning approaches and technologies.
• Optimize existing machine learning models for improved performance and efficiency.
• Provide technical leadership and mentorship to junior members of the team.

Job requirements

• Strong background in machine learning, natural language processing, artificial intelligence,

BioSky is a deep-tech spacetech startup building physics-driven, satellite-AI solutions for energy, climate, and sustainability use-cases. We work at the intersection of geospatial intelligence, large-scale ML, and real-world deployment , turning multi-sensor satellite data into business-critical insights.

We’re funded and backed by IIT Delhi , and selected among the Top 15 global spacetech startups by:

• Venture Catalyst Space (Australia)
• AWS Space Accelerator
• TACC+ Taiwan International Spacetech 2025

We’re looking for a Founding Machine-Learning Scientist who has already built and deployed ML models in production and now wants to own the entire product ML stack —from raw satellite data to real-time APIs.

This is a zero-to-one role . You’ll work on unstructured, high-impact problems and ship fast.

• Design, train, and deploy deep-learning models (CNNs, LSTM/RNNs, Transformers, GNNs) on satellite & geospatial data
• Build end-to-end ML pipelines : data ingestion → feature engineering → training → deployment
• Work on multi-sensor data fusion (satellite + external data sources) at scale
• Own the complete ML lifecycle : experimentation, evaluation, MLOps, CI/CD, cloud inference
• Compress petabyte-scale data i

About FM:

FM is a 190-year-old, Fortune 500 commercial property insurance company of 6,000+ employees with a unique focus on science and risk engineering. Serving over a quarter of the Fortune 500 and major corporations globally, they deliver data-driven strategies that enhance resilience, ensure business continuity, and empower organizations to thrive.

FM India located in Bengaluru is a strategic location for driving FM's global operational efficiency that allows them to leverage the country’s talented workforce and advance their capabilities to serve their clients better.

Lead Machine Learning Operations Engineer

Job Summary:

This role is a senior-level role on the Innovation Analytics & AIteam, leading the design and implementation of enterprise-grade MLOps infrastructure to manage the end-to-end ML lifecycle with a focus on automation, scalability, and governance. This role partners with Solution Architects to align business and technical requirements with enterprise architecture, ensuring seamless integration of diverse data sources. The Lead MLOps Engineer drives the adoption of modern MLOps frameworks, utilizing tools like Databricks, MLFlow, Azure ML, and CI/CD pipelines to deliver scalable and reliable AI/ML systems. This position leads design reviews, defines standards for maintainability and performance, and acts as a key contributor to innovation by integrating emerging technologies. The L

Ability to design end-to-end ML system architecture with: Model orchestration (LLM + OCR + embeddings + prompt pipelines) Preprocessing for images/PDF/PPT/Excel Embedding store, vector DB, or structured extraction systems Async processing queue, job orchestration, microservice design GPU/CPU deployment strategy Must be strong in scaling ML systems: Batch processing large files Handling concurrency, throughput, latency Model selection, distillation, quantization (GGUF, ONNX) CI/CD for ML (GitHub Actions, Jenkins) Model monitoring (concept drift, latency, cost optimization) Experience with cloud platforms: AWS/GCP/Azure with AI services (SageMaker, Vertex AI, Bedrock—nice to have) Problem-Solving & Solution Ownership Able to identify the right ML approach (fine-tuning, retrieval, prompting, multimodal pipeline). Ability to break vague product problems into clear ML tasks. Skilled in PoC building, quick prototyping, and converting them into production systems. Capability to estimate feasibility, complexity, cost, and timelines of ML solutions.

Dear All,

We are seeking a highly capable Machine Learning Engineer with deep expertise in fine-tuning Large Language Models (LLMs) and Vision-Language Models (VLMs) for intelligent document processing. This role requires strong knowledge of PEFT techniques (LoRA, QLoRA), quantization , transformer architectures , prompt engineering , and orchestration frameworks like LangChain . You’ll work on building and scaling end-to-end document processing workflows using both open-source and commercial models (OpenAI, Google, etc.), with an emphasis on performance, reliability, and observability.