ML Engineering Leader

3 days ago

Alwar, Rajasthan, India beBeeExpertise Full time ₹ 15,00,000 - ₹ 25,00,000

Senior MLOps Engineer Job Summary

This position requires a highly skilled Senior MLOps Engineer to own productionizing models, build automation-first delivery, engineer scalable serving, instrument end-to-end observability, and partner across teams. The ideal candidate will have experience operating ML systems in production, developing GitLab CI for ML/GenAI, and deploying and operating compute for ML.

Required Skills and Qualifications

  • 3+ years operating ML systems in production (MLOps).
  • Experience with Python for ML engineering (packaging, typing, testing, performance)
  • Experience developing GitLab CI for ML/GenAI (multi-stage pipelines, artifacts, evaluation/security gates) and Terraform for ML/GenAI (reusable modules, drift detection); secure packaging & containerization.
  • Experience deploying and operating compute for ML (EKS/ECS/Lambda), and secure data access patterns (S3/VPC/IAM/KMS, private endpoints)
  • Experience implementing MLflow tracking, model registry & governed promotion, packaging & deployment to multi-target runtimes.
  • Experience operating real-time + batch/streaming inference workloads, ML observability, layered testing (unit/integration), workflow orchestration, and cost optimization.
  • Experience designing and implementing IAM least-privilege, secrets/key management for CI/CD pipelines; privacy and compliance awareness.

Preferred Qualifications

  • Advanced GitLab CI (dynamic child pipelines, components, cross-project triggers, security scans, compliance gates).
  • Advanced Terraform (policy-as-code, gated plan/apply, environment promotion).
  • Advanced real-time serving (multi-tenant routing, dynamic model loading) and SLO-driven rollback/automation.
  • Databricks governance (Unity Catalog, lineage) and feature platform approval/reuse workflows.

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