Machine Learning Intern at Tata Consultancy Services
Tata Consultancy Services is hiring a Machine Learning Intern in Chennai for a 2-month, fully mentored internship. This is real, reviewed work on live projects — not a training sandbox or a certificate mill. About the internship You will join the ML engineering team and work alongside people who do this professionally every day. From week one you own a scoped piece of work, take it through review, and see it ship. Day-to-day responsibilities • Build and validate ML models on real datasets. • Engineer features and handle imbalanced data. • Evaluate models and guard against overfitting. • Support deployment of models into services. • Document your work clearly so the next person can pick it up. • Take part in stand-ups, planning and review sessions with the team. Tools and technologies you will use Python, Machine Learning, Scikit-learn, Pandas, Statistics, Feature Engineering, Model Evaluation, SQL, NumPy, Git — plus the internal tooling Tata Consultancy Services uses day to day. What you will learn The full ML lifecycle: framing, features, validation and why the model is the easy part. Team structure You report to a senior team member who acts as your mentor, inside a pod of 6-10 people. Weekly 1:1s track progress and a mid-internship review tells you exactly where you stand. What we expect from you Curiosity, ownership and clear communication. You are not expected to know every tool listed — you are expected to have solid fundamentals, ask good questions, and document what you do. Details: ₹20,000/month stipend · 2 months · Work From Office · 5 openings · Chennai. If you want to start a career in machine learning in Chennai, apply now. Responsibilities: Build and validate ML models on real datasets.; Engineer features and handle imbalanced data.; Evaluate models and guard against overfitting.; Support deployment of models into services.; Document your work so the next person can pick it up. Requirements: Education: pursuing or completed B.E./B.Tech/BCA/MCA/B.Sc in CS, IT or a related discipline; Graduation year: 2025, 2026 or 2027 batch; Minimum 60% / 6.0 CGPA (relaxable for candidates with strong practical projects); Technical skills: working knowledge of Python, Machine Learning, Scikit-learn, Pandas; Soft skills: clear written communication, ownership, willingness to document work; Experience: none required — freshers welcome; prior projects or certifications are a plus.