Advanced Machine Learning Operations Specialist

2 days ago


Kota, Rajasthan, India beBeeMlops Full time ₹ 25,00,000 - ₹ 50,00,000
Job Overview

We are seeking an experienced Senior MLOps Engineer to join our team. As a key member of the organization, you will be responsible for developing and implementing efficient model deployment strategies that ensure resilient services with clear SLOs.

The ideal candidate will have a strong background in machine learning engineering, experience with Python, and proficiency in GitLab CI and Terraform-based infrastructure as code.

  • Key Responsibilities:
  • Automate model delivery through reproducible builds and environment promotion using GitLab CI and Terraform-based IaC.
  • Design scalable serving architectures for 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 (data, model, system); detect drift/regressions; lead incidents and post-mortems that drive durable fixes.
  • Collaborate across teams to translate requirements into designs, ADRs, and change plans; balance 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 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.


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