Conduct statistical analysis and hypothesis testing for business experimentation
Optimize model performance using hyperparameter tuning, ensemble methods, and
explainable AI (XAI)
Collaborate with data engineering teams to improve data pipelines and quality Document methodologies, build reusable ML components, and publish technical artifacts Mentor junior data scientists and contribute to CoE-wide model governance
Technical Skills
ML Frameworks: Scikit-learn, TensorFlow, PyTorch, XGBoost
Statistical tools: Python (NumPy, Pandas, SciPy), R, SAS
NLP & LLMs: Hugging Face Transformers, GPT APIs, BERT, LangChain
Model deployment: MLflow, Docker, Azure ML, AWS Sagemaker
Data visualization: Power BI, Tableau, Plotly, Seaborn
SQL and NoSQL (CosmosDB, MongoDB)
Git, CI/CD tools, and model monitoring platforms
Qualification
Master's in Data Science, Statistics, Mathematics, or Computer Science
Microsoft Certified: Azure Data Scientist Associate or equivalent
Proven success in delivering production-ready ML models with measurable business
impact
Publications or patents in AI/ML will be considered a strong advantage
Job Types: Full-time, Permanent
Work Location: Hybrid remote in Chennai, Tamil Nadu
Expected Start Date: 12/07/2025
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