As a GenAI/ML Ops Engineer, you will be at the forefront of operationalizing advanced Machine Learning and Generative AI solutions
Job Summary
As a GenAI/ML Ops Engineer, you will be at the forefront of operationalizing advanced Machine Learning and Generative AI solutions.
Develop and operationalize ML and GenAI pipelines to enable scalable, reliable, and secure deployment of AI models across GE HealthCare’s enterprise landscape.
We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity.
Matching Summary
As a GenAI/ML Ops Engineer, you will be at the forefront of operationalizing advanced Machine Learning and Generative AI solutions.
Skills & Requirements
Must-have
ML and GenAI pipelines
model lifecycle management automation
CI/CD for AI models
hybrid and multi-cloud environments
Python, AWS, Azure
LLMs and generative AI models
Nice-to-have
research and proof-of-concepts
culture of innovation and collaboration
continuous learning and improvement
problem-solving and analytical skills
Key Requirements
PhD or Master’s degree in Computer Science, Data Science, Engineering, or related discipline
1-3 years of hands-on experience in ML/AI development pipelines
Experience with MLOps / GenAIOps tools and frameworks
Experience with containerization, CI/CD, and DevOps practices