Senior Machine Learning Engineer_Full-Time

2 days ago

tamil nadu, India BeGig Full time

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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