MLOps Developer – Walk‑in Drive (Vizag)

About the role

Tata Consultancy Services is hosting a walk‑in drive in Visakhapatnam for an experienced MLOps Developer. The position focuses on designing, building, and operating end‑to‑end machine‑learning pipelines that support AI initiatives across the organization.

Key responsibilities

• Design and maintain the full MLOps lifecycle, from model training to deployment and continuous monitoring.
• Implement CI/CD and continuous training pipelines for reliable model delivery.
• Containerize applications using Docker and orchestrate them with Kubernetes.
• Utilize MLflow or Kubeflow (or equivalent) to manage experiments, model versioning, and reproducibility.
• Deploy solutions on cloud platforms such as AWS, Azure, or GCP.
• Set up model monitoring, drift detection, and observability mechanisms.

Required profile

• 5 to 12 years of professional experience in MLOps, AI, or related fields.
• Strong background in building, deploying, and scaling machine‑learning systems.
• Hands‑on experience with containerization, orchestration, and cloud services.
• Ability to work onsite at the TCS Vizag campus and collaborate with cross‑functional teams.

Required skills

• MLOps lifecycle management
• CI/CD pipelines
• Docker
• Kubernetes
• MLflow
• Kubeflow
• AWS
• Azure
• GCP
• Python
• .Net
• Java
• TensorFlow
• PyTorch
• Keras
• Model monitoring
• Drift detection
• Observability

What we offer

• Opportunity to work with cutting‑edge AI/ML technologies at a global IT services leader.
• Dynamic team environment focused on innovation and continuous learning.