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Lead MLOps Engineer
Posted On: 2 days ago
Experience: 3+ years
Availability: Hybrid
Openings: 1
Category: MLOps Engineer
Tenure: Full-time Only
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Description

You will lead the development and deployment of scalable AI/ML infrastructure and agentic systems.

This role is hybrid.

Responsibilities

  • Build and maintain high-concurrency, scalable systems using asynchronous and event-driven programming.
  • Design and implement CI/CD pipelines using GitHub Actions, AWS CodePipeline, and CodeBuild.
  • Integrate LLMs and AI/ML solutions into production workflows, including multi-step agentic systems.
  • Manage container orchestration using Kubernetes and EKS.
  • Develop microservices and REST APIs to support retrieval systems and ML workflows.

Required Skills

  • 3+ years of Python development experience.
  • Hands-on experience with AWS infrastructure.
  • Proficiency with Kubernetes and EKS.
  • Experience with CI/CD tools: GitHub Actions, AWS CodePipeline, and CodeBuild.
  • Knowledge of LLM integration and agentic, multi-step workflows.
  • Strong background in event-driven and asynchronous programming.
  • Experience developing microservices and REST APIs.
  • Experience with retrieval systems such as OpenSearch.
  • Proven ability to build high-concurrency, scalable systems.

Preferred Skills

  • Proficiency with FastAPI and Celery.
  • Experience with the AWS stack: Redis, DynamoDB, S3, SQS, Kinesis, KMS, IAM, and Secret Manager.

Education

Any Graduate

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