Senior ML Ops Engineer

Location: Pune / Mumbai / Bangalore / Hyderabad / Gurugram / Chandigarh

Shift Timings : 3:30 PM to 12:30 AM

Budget: Up to ₹18 LPA (negotiable for exceptional candidates)

Mandatory Requirements:

Strong Python and API development skills

Hands-on with SQL/NoSQL databases

Practical exposure to MLOps tools: Docker, Kubernetes, MLflow

Experience deploying and managing ML services on cloud platforms

Bonus: Model monitoring (Prometheus, Grafana), orchestration (Airflow, Kubeflow), A/B testing

Job Types: Full-time, Permanent

Pay: ₹125,000.00 - ₹141,000.00 per month

Benefits:

• Health insurance
• Provident Fund

Work Location: In person