Machine Learning Engineer

2 days ago

Bengaluru, Karnataka, India Reyika Full time ₹ 8,00,000 - ₹ 25,00,000 per year

Job Description 1 – Machine Learning Engineer

Role:
Machine Learning Engineer

Experience:
5+ years

Location: Pune, Bangalore, Hyderabad, Mohali, Chennai, Bhubneshwar

Role Summary

We are seeking a
Machine Learning Engineer
to design, develop, and deploy advanced AI/ML models that drive innovation and business value. The ideal candidate will have hands-on experience in building scalable ML pipelines, applying generative AI frameworks, and optimizing models for performance and efficiency.

Key Responsibilities

  • Design, develop, and test AI/ML models adhering to architecture and coding standards.
  • Perform
    data preprocessing, feature engineering, and model evaluation
    to ensure accuracy and reliability.
  • Write
    technical specifications, documentation, and reusable code
    .
  • Conduct
    code reviews
    and provide constructive feedback to peers.
  • Collaborate with cross-functional teams to integrate ML models into production applications.
  • Optimize models for
    performance, scalability, and low latency
    .
  • Stay updated with the latest advancements in
    AI/ML, deep learning, and generative AI frameworks
    .

Required Skills

  • Strong knowledge of
    Machine Learning algorithms
    and techniques.
  • Proficiency in
    Python
    for ML/AI development.
  • Experience with
    Generative AI frameworks (LLMs, Transformers, etc.)
    .
  • Expertise in
    data analysis, feature engineering, and model evaluation techniques
    .
  • Familiarity with
    code review practices and collaborative development tools
    .
  • Knowledge of
    cloud platforms (AWS, Azure, or GCP)
    is a plus.

Job Description 2 – ML/Backend Engineer

Role:
ML/Backend Engineer

Experience:
5+ years

Location: Pune, Bangalore, Hyderabad, Mohali, Chennai, Bhubneshwar

Role Summary

We are looking for an
ML/Backend Engineer
who can combine expertise in machine learning with backend system development. The role involves designing AI/ML models while ensuring seamless backend integration, API development, and efficient data handling for production-ready deployments.

Key Responsibilities

  • Design, develop, and test AI/ML models and solutions aligned with system architecture.
  • Implement
    backend logic, APIs, and data pipelines
    for smooth ML model deployment.
  • Work on
    database design and management (SQL/NoSQL)
    to support large-scale ML applications.
  • Conduct
    code reviews
    , ensuring performance and maintainability.
  • Collaborate with other developers, data scientists, and product teams to integrate solutions.
  • Ensure backend systems are
    scalable, secure, and cloud-ready
    .
  • Stay up-to-date with emerging
    ML, backend, and cloud technologies
    .

Required Skills

  • Proficiency in
    Python
    for both ML and backend development.
  • Hands-on experience with
    Machine Learning algorithms
    and
    Generative AI frameworks
    .
  • Strong knowledge of
    FastAPI (or similar Python frameworks)
    for API design.
  • Expertise in
    database management (SQL/NoSQL)
    .
  • Experience with
    cloud platforms (AWS, Azure, or GCP)
    for deployment.
  • Strong understanding of
    data analysis, feature engineering, and model evaluation
    .

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