Machine Learning Infrastructure Architect

5 days ago


Kota, Rajasthan, India beBeeMlOps Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Overview:

We are seeking a skilled Senior Machine Learning Operations (MLOps) Engineer to join our team.

The ideal candidate will have expertise in building automation-first delivery pipelines, engineering scalable serving architecture, and instrumenting end-to-end observability.

  • Owning the productionization of models to ensure resilient services with clear Service Level Objectives (SLOs) and fast, safe rollbacks.
  • Developing reproducible builds, layered tests, and environment promotion via continuous integration and infrastructure as code tools.
  • Designing and implementing scalable serving architectures for batch and real-time inference workloads.
  • Instrumenting end-to-end observability to detect drift/regressions and lead incidents that drive durable fixes.
  • Partnering across teams to translate requirements into designs and balance security, privacy, cost, and performance tradeoffs.

Essential Qualifications:

A Bachelor's degree in Computer Science, Engineering, Data Science, or a related field and 3+ years of relevant experience; or High School Diploma/General Education Degree and 6+ years of relevant experience in lieu of Bachelor's Degree.

  • 3+ years operating ML systems in production.
  • Experience with Python for ML engineering and GitLab CI for ML/GenAI development.
  • Knowledge of secure packaging, containerization, and deployment of compute resources for ML.
  • Experience implementing MLflow tracking, model registry, and governed promotion.
  • Ability to design and implement IAM least-privilege and secrets/key management for CI/CD pipelines.

Preferred Qualifications:

  • Advanced knowledge of GitLab CI and Terraform for infrastructure as code.
  • Experience with Databricks governance and feature platform approval/reuse workflows.


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