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MLOps Engineer with AI/ML

CTS

 

Sunnyvale, CA, USA

Posted On: 15 days ago
Experience: 10+ years
Availability: Onsite
Openings: 1
Category: MLOps Engineer
Tenure: Contract - Corp-to-Corp
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Description

You will own the CI/CD pipelines, container orchestration, and infrastructure automation for ML applications. You ensure system stability, security, and automated recovery across cloud environments.

This role is on-site.

Responsibilities

  • Develop and maintain CI/CD processes using Jenkins and GitHub for multi-platform applications.
  • Orchestrate containerized workloads using Kubernetes and Docker.
  • Implement infrastructure as code (IaC) to manage cloud resources on AWS and ISCloud.
  • Monitor system health and logs using Prometheus, Grafana, and ELK to ensure stability and security.
  • Collaborate with development teams to integrate deployment strategies and conduct security and performance tests.

Required Skills

  • 10+ years of experience in DevOps, MLOps, or Site Reliability Engineering.
  • Proficiency in Kubernetes and Docker for container orchestration.
  • Strong experience with CI/CD tools, specifically Jenkins and GitHub CI.
  • Cloud infrastructure expertise in AWS and ISCloud.
  • Scripting proficiency in Python, Shell, and Groovy.
  • Experience with monitoring and logging stacks including Prometheus, Grafana, and ELK.
  • Bachelor's degree in Computer Science or related field.

Preferred Skills

  • Background in AI/ML model deployment and lifecycle management.
  • Experience with automated system recovery solutions.

Education

Bachelor's degree

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