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Senior Machine Learning Engineer_Full-Time

8 years

0 Lacs

chennai tamil nadu india

Posted:3 days ago| Platform: Linkedin logo

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Skills Required

learning ml model ai programming vision design code query data training excel tracking experimentation retrieval ocr coding algorithms extraction joins processing networks tensorflow deployment containerization docker

Work Mode

On-site

Job Type

Full Time

Job Description

Job Role

Job Type

Work mode

Location

Transport:

Shift timing

Experience Level:


About the Role:

Machine Learning Engineer

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:

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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