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.