Machine Learning Operations Specialist

10 hours ago

Jodhpur, Rajasthan, India beBeeMachineLearning Full time ₹ 16,26,000 - ₹ 23,12,000

We are seeking a Machine Learning Operations Specialist to join our team. In this role, you will be responsible for ensuring the smooth operation of our machine learning systems.

Key Responsibilities:

  • Owning the productionization of models from tracked experiments to governed releases, ensuring resilient services with clear service level objectives (SLOs), runbooks, and fast safe rollbacks.
  • Building automation-first delivery: reproducible builds, layered tests, and environment promotion via GitLab CI and Terraform-based infrastructure as code (IaC).
  • Engineering scalable serving: batch and real-time inference on EKS/ECS/Lambda and Databricks Model Serving with probes, autoscaling, and canary/blue-green deployments.
  • Instrumenting end-to-end observability (data, model, system); detecting drift/regressions; leading incidents and post-mortems that drive durable fixes.
  • Partnering across teams to translate requirements into designs, architectural decision records (ADRs), and change plans; balancing security, privacy, cost, and performance tradeoffs.
  • Continuously reducing toil through automation, optimizing model/GPU/LLM cost, and evolving 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 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 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.

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.
  • Databricks governance (Unity Catalog, lineage) and feature platform approval/reuse workflows.

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