HybridAsia/Kolkata

MLOps Engineer

Gurgaon, Haryana

Level 3 · Advanced

₹6.6 LPA - ₹10.2 LPA CTC per annum

About the role

Operationalize machine learning models with robust deployment and monitoring. Experience: 3-5 years Department: Analytics Employment type: Full-time Key Requirements: - Experience with ML model deployment pipelines - Knowledge of containerization and orchestration - Familiarity with model versioning and monitoring - Strong DevOps and scripting skills

First 90 days

30 days

Complete onboarding and deliver your first meaningful contribution as MLOps Engineer.

60 days

Own a core workstream and collaborate across teams in the MLOps Engineer role.

90 days

Drive measurable impact and help improve team practices as MLOps Engineer.

Blind audition

Share a recent project, portfolio piece, or work sample relevant to this role.

Must-have stack

MLOpsDockerKubernetesModel Monitoring

Nice-to-have

CI/CD