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Senior MLOps Engineer Job Opening In ajit – Now Hiring Mitchell Martin Inc.


Job description

Essential Duties

Include, but are not limited to, the following:

  • Own productionizing models—from tracked experiments to governed releases—ensuring resilient services with clear SLOs, runbooks, and fast, safe rollbacks.

  • Build automation-first delivery: reproducible builds, layered tests, and environment promotion via GitLab CI and Terraform-based IaC.

  • Engineer scalable serving: batch and real-time inference on EKS/ECS/Lambda and Databricks Model Serving with probes, autoscaling, and canary/blue-green deployments.

  • Instrument end-to-end observability (data, model, system); detect drift/regressions; lead incidents and post-mortems that drive durable fixes.

  • Partner across teams to translate requirements into designs, ADRs, and change plans; balance security, privacy, cost, and performance tradeoffs.

  • Continuously reduce toil through automation, optimize model/GPU/LLM cost, and evolve templates/playbooks for repeatable delivery.


Minimum Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field and 3+ years of relevant experience as outlined in the essential duties; or High School Diploma/General Education Degree and 6+ years of relevant experience as outlined in the essential duties in lieu of Bachelor’s Degree.

  • 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.

Required Skill Profession

Other General


  • Job Details

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Unlock Your Senior MLOps Potential: Insight & Career Growth Guide


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396641 Jobs in India
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