MLOps Engineer Fresher Internship Chennai June 2026 — TCS AI.Cloud MLflow + Kubeflow

About the role

TCS AI.Cloud Chennai is hiring 2025-2026 freshers for an MLOps Engineer track — productionising machine-learning models for Fortune-500 banking, retail and healthcare clients using MLflow, Kubeflow and cloud-native ML platforms.

Machine learning models in laptops are easy; running them reliably in production is hard — and that is exactly what MLOps engineers do. TCS Chennai is opening freshers slots in its rapidly growing MLOps practice. The 12-week training covers Python for ML engineering, MLflow experiment tracking, Kubeflow pipelines, feature stores (Feast), model registries, CI/CD for ML, monitoring with Evidently, and deploying models on AWS SageMaker, Azure ML and GCP Vertex AI. You then join a live client team productionising fraud-detection, recommender, or computer-vision models.

Responsibilities

Build ML pipelines with Kubeflow or Airflow. Set up MLflow tracking servers for client data-science teams. Containerise models with Docker and deploy on Kubernetes via BentoML or KServe. Write CI/CD GitHub Actions that test, train, register and deploy models. Monitor model drift and data quality with Evidently and WhyLabs.

Requirements & qualifications

BE / BTech / MCA / MTech passout 2025 or 2026 with 70%+. Strong Python (must). Basic understanding of machine learning concepts. Linux command line. Git workflow. Comfortable with containers (Docker basics). Statistics fundamentals. Willing to commit to TCS 24-month bond.

Why this role in 2026

MLOps is the most lucrative AI specialisation for 2026 — pays 40-60% above pure data-scientist roles in 3-5 years because production ML is rare. TCS gives you free certifications: MLflow, Kubeflow CKA, AWS SageMaker Specialty, plus production experience on real client models.

Career growth

Intern → MLOps Engineer (year 1) → Senior MLOps (year 3) → Principal MLOps / ML Platform Architect (year 5+).

Company & benefits

Paid stipend during 12-week training. Free MLflow + Kubeflow + AWS SageMaker certifications. Confirmed full-time offer on successful completion. Health insurance from day one. TCS internal AI/ML conference attendance.