Expert Machine Learning Deployment Specialist

3 days ago


Bareilly, Uttar Pradesh, India beBeeMachineLearning Full time ₹ 15,00,000 - ₹ 25,00,000
Senior MLOps Engineer

As a Senior MLOps Engineer, you will be responsible for productionizing machine learning models, building automation-first delivery pipelines, and engineering scalable serving systems. You will work closely with cross-functional teams to translate requirements into designs, ADRs, and change plans, balancing security, privacy, cost, and performance tradeoffs.

Key Responsibilities:
  • Own the productionization of machine learning models, from tracked experiments to governed releases, ensuring resilient services with clear SLOs, runbooks, and fast, safe rollbacks.
  • Design and implement automation-first delivery pipelines using GitLab CI and Terraform-based IaC, focusing on reproducible builds, layered tests, and environment promotion.
  • Engineer scalable serving systems for batch and real-time inference on EKS/ECS/Lambda and Databricks Model Serving, incorporating probes, autoscaling, and canary/blue-green deployments.
  • Instrument end-to-end observability (data, model, system) to detect drift/regressions and lead incidents and post-mortems that drive durable fixes.
Requirements:
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, or High School Diploma/General Education Degree with 6+ years of relevant experience.
  • 3+ years of experience operating ML systems in production (MLOps).
  • Experience with Python for ML engineering, including packaging, typing, testing, and performance.
  • Experience developing GitLab CI for ML/GenAI, including multi-stage pipelines, artifacts, evaluation/security gates, and secure packaging & containerization.
  • Experience deploying and operating compute for ML, secure data access patterns, and implementing MLflow tracking, model registry, and governed promotion.



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