Lead Machine Learning Operations Specialist

4 days ago


Tiruchi, Tamil Nadu, India beBeeMLOps Full time ₹ 1,20,00,000 - ₹ 2,00,00,000
Job Summary

We are seeking an experienced Senior MLOps Engineer to join our team. As a Senior MLOps Engineer, you will be responsible for productionizing models from tracked experiments to governed releases, ensuring resilient services with clear SLOs, runbooks, and fast, safe rollbacks.

  • Productionize models from tracked experiments to governed releases.
  • Built automation-first delivery: reproducible builds, layered tests, and environment promotion via GitLab CI and Terraform-based IaC.
  • Engineered scalable serving: batch and real-time inference on EKS/ECS/Lambda and Databricks Model Serving with probes, autoscaling, and canary/blue-green deployments.
  • Instrumented end-to-end observability (data, model, system); detected drift/regressions; led incidents and post-mortems that drive durable fixes.

The ideal candidate should have 3+ years of experience operating ML systems in production (MLOps), experience with Python for ML engineering, and experience developing GitLab CI for ML/GenAI and Terraform for ML/GenAI. Experience deploying and operating compute for ML and secure data access patterns is also necessary. Additionally, the candidate should have experience implementing MLflow tracking, model registry & governed promotion, packaging & deployment to multi-target runtimes. Preferred qualifications include advanced GitLab CI, advanced Terraform, and experience designing and implementing IAM least-privilege and secrets/key management for CI/CD pipelines.

Key Skills
  • Machine Learning Operations (MLOps)
  • Python
  • GitLab CI
  • Terraform
  • MLflow
  • IAM Least Privilege

This role offers the opportunity to work with cutting-edge technologies and contribute to the development of innovative solutions. If you are passionate about machine learning and operations, we encourage you to apply.

About the Role

This is a senior-level position that requires a strong background in machine learning operations. The successful candidate will have a deep understanding of MLOps principles, experience with leading-edge technologies, and excellent communication skills.

Benefits

This role offers a competitive salary and benefits package, as well as opportunities for professional growth and development.

How to Apply

If you are interested in this exciting opportunity, please submit your resume and a cover letter explaining why you are the ideal candidate for this role.



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