ML Expert

2 weeks ago

Malappuram, Kerala, India beBeeSenior Full time ₹ 25,00,000 - ₹ 35,00,000

We are seeking a seasoned ML expert to fill a pivotal role in our organization. This position requires an individual with a proven track record of successfully productionizing models, building automation-first delivery pipelines, and ensuring end-to-end observability.

Key Responsibilities
  • Own the entire model lifecycle, from experimentation to deployment, ensuring resilient services with clear service level objectives, runbooks, and fast, safe rollbacks.
  • Design and implement scalable serving solutions, including batch and real-time inference on EKS/ECS/Lambda and Databricks Model Serving with probes, autoscaling, and canary/blue-green deployments.
  • Instrument end-to-end observability, detect drift/regressions, and lead incidents and post-mortems that drive durable fixes.
  • Collaborate with cross-functional teams to translate requirements into designs, architectural decision records, and change plans, balancing security, privacy, cost, and performance tradeoffs.

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.
  • 3+ years operating machine learning systems in production (MLOps).
  • Experience with Python for machine learning engineering, packaging, typing, testing, and performance.
  • Experience developing GitLab CI for machine learning/gen AI, including multi-stage pipelines, artifacts, evaluation/security gates, and secure packaging & containerization.
  • Experience deploying and operating compute for machine learning, including EKS/ECS/Lambda, and secure data access patterns, such as S3/VPC/IAM/KMS and 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, and cost optimization.
  • Experience designing and implementing IAM least-privilege, secrets/key management for CI/CD pipelines, and privacy and compliance awareness.

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