AI Systems Developer

2 weeks ago

Bellary, Karnataka, India beBeeMachineLearning Full time ₹ 1,80,00,000 - ₹ 2,40,00,000

Job Title: Senior MLOps Engineer

Key Responsibilities
  • Develop and deploy resilient machine learning models using tracked experiments and governed releases with clear Service Level Objectives (SLOs) and fast safe rollbacks.
  • Create automation-first delivery pipelines: reproducible builds, layered tests, environment promotion via GitLab CI and Terraform-based Infrastructure as Code (IaC).
  • Design and implement scalable serving architectures for batch and real-time inference on EKS/ECS/Lambda and Databricks Model Serving with probes, autoscaling, canary/blue-green deployments.
  • Implement end-to-end observability (data, model, system); detect drift/regressions; lead post-mortem incident reviews that drive durable fixes.
  • Partner across teams to translate requirements into designs, Architecture Decision Records (ADRs), change plans; balance security, privacy, cost, performance tradeoffs.
  • Continuously reduce operational toil through automation optimize model/GPU/LLM cost evolve templates/playbooks for repeatable delivery.
Minimum Qualifications
  • A Bachelor's degree in Computer Science, Engineering, Data Science, or a related field; 3+ years of relevant experience as outlined in the key responsibilities or High School Diploma/General Education Degree; 6+ years of relevant experience as outlined in the key responsibilities in lieu of a Bachelor's Degree.
  • 3+ years operating Machine Learning (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 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 workflow orchestration, cost optimization.
  • Experience designing and implementing IAM least-privilege secrets/key management for CI/CD pipelines, privacy 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 SLO-driven rollback/automation.
  • Databricks governance Unity Catalog lineage feature platform approval/reuse workflows.

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