ML Production Engineer

6 days ago

Alleppey, Kerala, India beBeeModelEngineering Full time ₹ 20,00,000 - ₹ 25,00,000
Job Title:

A Model Engineering Specialist

Are you a skilled model engineer seeking a challenging role? We are looking for an experienced professional to join our team as a Model Engineering Specialist.

Responsibilities:
  • Productionize models from experimentation to production, ensuring they meet required standards and service level objectives (SLOs).
  • Build automation scripts using GitLab CI and Terraform-based Infrastructure-as-Code (IaC) for reproducible builds, layered tests, and environment promotion.
  • Engineer scalable serving solutions for batch and real-time inference on EKS/ECS/Lambda and Databricks Model Serving, including probes, autoscaling, and canary/blue-green deployments.
  • Instrument end-to-end observability, detect drift/regressions, lead incidents, and post-mortems to drive durable fixes.
  • Partner across teams to translate requirements into designs, Architecture Decision Records (ADRs), and change plans, balancing security, privacy, cost, and performance tradeoffs.
Requirements:
  • Bachelor's degree in Computer Science, Engineering, Data Science, or related field, or equivalent experience.
  • 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.

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