MLOps Engineer
Innocode Ventures
Gurgaon, Haryana
Level 3 · Advanced
₹6.6 LPA - ₹10.2 LPA CTC per annum
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
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.
Share a recent project, portfolio piece, or work sample relevant to this role.