AI Model Deployment Expert

2 weeks ago


Tiruppur, Tamil Nadu, India beBeeMachineLearning Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Job Opportunity:

We are seeking a seasoned MLOps Engineer to join our team. As a critical member of our organization, you will be responsible for productionizing models to ensure resilient services with clear service level objectives, runbooks, and fast, safe rollbacks.

Your key responsibilities will include building automation-first delivery by creating reproducible builds, layered tests, and environment promotion via CI/CD pipelines and infrastructure as code.

You will engineer scalable serving by implementing batch and real-time inference on containerized environments and model serving platforms with probes, autoscaling, and canary/blue-green deployments.

Your role will also involve instrumenting end-to-end observability (data, model, system), detecting drift/regressions, leading incidents and post-mortems that drive durable fixes.

You will partner across teams to translate requirements into designs, architecture decisions, and change plans; balance security, privacy, cost, and performance tradeoffs.

Your contributions will be instrumental in reducing toil through automation, optimizing model/GPU/LLM cost, and evolving templates/playbooks for repeatable delivery.

  • Essential Responsibilities: Productionize models, build automation-first delivery, engineer scalable serving, instrument end-to-end observability, partner across teams, reduce toil, and optimize model/GPU/LLM cost.
  • Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, Data Science, or related field with 3+ years of relevant experience; High School Diploma/General Education Degree with 6+ years of relevant experience in lieu of Bachelor's Degree.
  • Preferred Qualifications: Advanced CI/CD pipeline management, advanced infrastructure as code, advanced real-time serving, and data governance.

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