Chief Machine Learning Automation Specialist

4 days ago

Rajahmundry, Andhra Pradesh, India beBeeMachineLearningEngineer Full time ₹ 1,80,00,000 - ₹ 2,70,00,000
Senior MLOps Engineer

Key Responsibilities:

  • Develop and implement production-ready machine learning models that ensure high availability, reliability, and scalability.
  • Create automation pipelines for model deployment, testing, and monitoring using tools like GitLab CI and Terraform.
  • Design and engineer scalable serving architectures for batch and real-time inference on cloud platforms such as AWS EKS/ECS/Lambda and Databricks Model Serving.
  • Maintain end-to-end observability, detect drift and regressions, and lead incident response efforts to drive durable fixes.
  • Collaborate with cross-functional teams to translate requirements into designs, ADRs, and change plans, balancing security, privacy, cost, and performance tradeoffs.
  • Continuously improve delivery processes through automation, optimize model/GPU/LLM cost, and evolve templates/playbooks for repeatable delivery.

Requirements:

  • 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 (MLOps).
  • Experience with Python for ML engineering, packaging, typing, testing, and performance.
  • Experience developing GitLab CI for ML/GenAI, multi-stage pipelines, artifacts, evaluation/security gates, and 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 skills, dynamic child pipelines, components, cross-project triggers, security scans, compliance gates.
  • Advanced Terraform skills, policy-as-code, gated plan/apply, environment promotion.
  • Advanced real-time serving skills, multi-tenant routing, dynamic model loading, and SLO-driven rollback/automation.
  • Databricks governance skills, Unity Catalog, lineage, and feature platform approval/reuse workflows.

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