MLOPs Engineer

MLOps Engineer Pune (Urgent)

Experience: 6–7 years
Location: Pune (Onsite)
Joining: Immediate / Short notice only
Preference: Candidates from GCCs

Role Summary:
We are urgently looking for an experienced MLOps Engineer to build, deploy, and manage scalable ML pipelines and production-grade ML systems.

Key Responsibilities:

• Build, deploy, and optimize ML models and pipelines in production
• Automate ML workflows (training, testing, deployment, monitoring)
• Manage CI/CD for ML, model versioning, and model lifecycle
• Work with cloud platforms (preferably Azure) and containerization
• Ensure model performance, scalability, and reliability

Key Skills:

• Strong experience in Python, ML frameworks (PyTorch / TensorFlow / Scikit-learn)
• Hands-on with MLOps tools, CI/CD, Docker, Kubernetes
• Experience with cloud services (Azure preferred)
• Knowledge of data pipelines, monitoring, and logging

Notes:

• Only urgent joiners based in or willing to work from Pune
• GCC experience preferred