Chief AI Infrastructure Specialist

3 days ago

Alleppey, Kerala, India beBeeMLops Full time US$ 1,78,418 - US$ 2,16,345
Machine Learning Operations Engineer

We are seeking an experienced Machine Learning Operations (MLOps) Engineer to join our team. The ideal candidate will have a strong background in software development, data science, and operations.

  • The MLOps Engineer will be responsible for the productionization of machine learning models from experimentation to governed release, ensuring resilient services with clear service-level objectives (SLOs), runbooks, and fast safe rollbacks.
  • Develop automation-first delivery: reproducible builds, layered tests, and environment promotion using GitLab CI and Terraform-based infrastructure-as-code (IaC).
  • Design scalable serving: batch and real-time inference on Amazon Elastic Container Service for Kubernetes (EKS), Amazon Elastic Container Service (ECS), AWS Lambda, and Databricks Model Serving with probes, autoscaling, and canary/blue-green deployments.
  • Instrument end-to-end observability (data, model, system); detect drift and regressions; lead incident response and post-mortem analysis to drive durable fixes.
Requirements
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field and 3+ years of relevant experience as outlined in the key responsibilities; or High School Diploma/General Education Degree and 6+ years of relevant experience as outlined in the key responsibilities in lieu of Bachelor's Degree.
  • 3+ years operating machine learning systems in production (MLOps).
  • Experience with Python for ML engineering (packaging, typing, testing, performance)
  • Experience developing GitLab CI for ML/general AI (multi-stage pipelines, artifacts, evaluation/security gates) and Terraform for ML/general AI (reusable modules, drift detection); secure packaging & containerization.
  • Experience deploying and operating compute for ML (EKS/ECS/Lambda), and secure data access patterns (Amazon Simple Storage Service (S3)/Virtual Private Cloud (VPC)/Identity and Access Management (IAM)/Key Management Service (KMS), private endpoints)
  • Experience implementing MLflow tracking, model registry & governed promotion, packaging & deployment to multi-target runtimes.
Preferred Qualifications
  • Advanced GitLab CI (dynamic child pipelines, components, cross-project triggers, security scans, compliance gates).
  • Advanced Terraform (policy-as-code, gated plan/apply, environment promotion).
  • Advanced real-time serving (multi-tenant routing, dynamic model loading) and SLO-driven rollback/automation.

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