Senior Machine Learning Engineer_Full-Time
1 week ago
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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