Genai And Ml Ops Engineer

GE HealthCare

01
Hybrid
Ml and genai pipelines
Model lifecycle management
Ci/cd for ai models
Design, deliver, and maintain robust development and deployment pipelines for high-impact AI applications across key business domains

Job Summary

  • Design, deliver, and maintain robust development and deployment pipelines for high-impact AI applications across key business domains.
  • Automate model lifecycle management, including versioning, CI/CD, testing, deployment, observability, monitoring, and governance.
  • Integrate Generative AI capabilities into business workflows, enhancing automation, productivity, and decision intelligence.

Matching Summary

Design, deliver, and maintain robust development and deployment pipelines for high-impact AI applications across key business domains.

Skills & Requirements

Must-have

  • ML and GenAI pipelines
  • model lifecycle management
  • CI/CD for AI models
  • hybrid and multi-cloud environments
  • Python and cloud platforms
  • LLMs and generative AI models

Nice-to-have

  • culture of innovation and collaboration
  • continuous learning and improvement
  • strong problem-solving abilities
  • ability to interface with senior leadership

Key Requirements

  • PhD or Master’s degree in Computer Science, Data Science, Engineering
  • 1–3 years of hands-on experience
  • Knowledge of API development and orchestration frameworks
  • Experience with MLOps / GenAIOps tools
  • Experience with containerization, CI/CD, and DevOps practices

Work Rights

Not specified

Tailored Resume

Cover Letter