Senior Machine Learning Engineer_Full-Time

1 week ago


Chennai, Tamil Nadu, India BeGig Full time ₹ 8,00,000 - ₹ 24,00,000 per year

Job Role
- Senior ML Engineer

Job Type
- Full-Time

Work mode
- Onsite

Location
- Chennai

Transport:
Cab facility available within a 20 km radius

Shift timing
- 4 pm to 1 am (Cab facilities will be there

Experience Level:
4–8 years

About the Role:

We are seeking a
Machine Learning Engineer
with strong practical experience in model building and a passion for solving real-world problems with AI. The ideal candidate will have hands-on expertise across the ML lifecycle, solid programming skills, and exposure to modern AI technologies like Gen-AI, RAG, and Vision models.

Key Responsibilities:

  • Design, build, train, and evaluate ML models for production use cases.
  • Write efficient, maintainable, and scalable code in
    Python
    .
  • Work with
    SQL
    to query and transform data for model training and analysis.
  • Create and maintain
    Excel-based reports
    for performance tracking and business insights.
  • Use
    cloud platforms
    and ML workbenches for experimentation and deployment.
  • Develop and fine-tune
    NLP models
    , implement
    RAG (Retrieval Augmented Generation)
    solutions, and experiment with
    Vision models
    and
    OCR pipelines
    .
  • Apply deep learning techniques to solve complex problems.
  • Work with
    MCP servers
    to manage and deploy ML workflows.
  • Stay up to date with the latest trends in
    Generative AI
    , ML, and DL.

Required Skills & Qualifications:

  • Model Building:
    Strong hands-on experience developing, training, and deploying ML models.
  • Programming:
    Proficient in
    Python
    with good coding practices.
  • Machine Learning:
    Good understanding of ML concepts, algorithms, and practical implementation.
  • SQL:
    Intermediate skills for data extraction, joins, and aggregations.
  • Excel Reporting:
    Ability to build and maintain performance dashboards and reports.
  • Cloud & ML Workbench:
    Basic knowledge of using cloud services and ML platforms.
  • NLP:
    Intermediate understanding of natural language processing and text analytics.
  • Generative AI & RAG:
    Basic to intermediate exposure to Gen-AI, RAG-based solutions, and prompt engineering.
  • Vision Models & OCR:
    Experience or knowledge of working with image processing and OCR solutions.
  • Deep Learning:
    Understanding of neural networks, CNNs, and DL frameworks (TensorFlow/PyTorch).

Experience Level:
2–5 years (or equivalent project experience).

Nice to Have:

  • Exposure to MLOps pipelines and deployment practices.
  • Experience with vector databases and retrieval systems.
  • Familiarity with containerization (Docker) and CI/CD workflows.


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