Find Your Dream Machine Learning Job in India

Explore the latest Machine Learning job openings in India. Discover top companies hiring for Machine Learning roles across major cities in India and take the next step in your career.

Machine Learning Engineer

About the Role

We are seeking a Machine Learning Engineer to design, build, and deploy scalable ML models that power data-driven products and decisions. You will work closely with data scientists, software engineers, and product teams to take models from research to production in a fully remote environment.

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Engineer

About the Role

Key Responsibilities

Design, develop, and deploy machine learning models for production use
Build and maintain scalable ML pipelines (data ingestion, training, evaluation, deployment)
Collaborate with product and engineering teams to translate business requirements into ML solutions
Optimize model performance, reliability, and scalability
Monitor models in production and retrain as needed
Conduct experiments and evaluate models using appropriate metrics
Write clean, maintainable, and well-documented code

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
3+ years of experience as a Machine Learning Engineer or similar role
Strong proficiency in Python
Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
Solid understanding of machine learning algorithms, statistics, and data structures
Experience with SQL and data manipulation tools
Familiarity with software engineering best practices (version control, testing, CI/CD)

Preferred Qualifications

Experience deploying ML models in production
Knowledge of MLOps tools and workflows
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Docker, Kubernetes, and REST APIs
Experience with big data tools (Spark, Kafka, Airflow)
Background in NLP, computer vision, or recommendation systems

Tech Stack

Python, SQL
PyTorch / TensorFlow
AWS / GCP / Azure
Docker, Kubernetes
Git, CI/CD pipelines

Sitevis LTD

Today

Machine Learning Specialist

Role Overview:

We are looking for a proactive and detail oriented professional to join our Information Technology Dept. The candidate will be responsible for Data Engineering, Analytics & Automation, Industrial IIOT and Machine Learning and contributing to the company’s global growth strategy.

Qualification & Experience:

Education: BE/B.Tech(IT/IS/CSE) MCA/M.Sc(Computer Science/Systems).

Length of Experience:

12 to 20 years in relevant field.

Desired Skills:

Data Engineering

Data Analytics tools like Power BI & Qlik Sense

Machine Learning & AI

Knowledge of Cloud Platforms

Key Responsibilities:

Data Analysis.

Process Automation.

Data Engineering.

Maintenance of projects in process automation.

Development and Support of different API’s (Python).

Development and support of ongoing project.

Electrosteel Castings Ltd. - India

Yesterday

Machine Learning Engineer

About Leegality:

We're India's very first Document Infrastructure Platform. Our mission? To completely transform how businesses handle paperwork, contracts, and getting digital consent.

We make critical paperwork flows faster, way more innovative, and completely compliant for Indian businesses. Over 2,000 companies, from huge players like HDFC and SBI Cards to super fast-growing ones like Razorpay and Cars24, trust us with their document workflows.

Beyond our core platform, we've launched "Deal Collaboration" (making contract negotiation a breeze) and "ConsentIn" (for easy, DPDP-compliant consent collection).

Basically, we're building the go-to execution layer for all modern paperwork. If that sounds exciting, come join us!

Curious about our impact? Check out our customer success stories here:

Our Culture:

At Leegality, we're all about trust, owning our work, transparency, and having a blast while building something meaningful.

These aren't just buzzwords; our team proved it by giving us an amazing 97 on the eNPS survey for FY 2023-24 (that's the highest among over 175 startups!).

We're always working to help our team grow and stay motivated. We offer cool perks like flexible hours, hybrid work, and bi-annual appraisals to make sure everyone has an awesome work environment.

If our culture vibes with you, ke

Leegality

Today