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Principal Architect GenAI and ML Ops - GE HealthCare
AI Engineer
Lead the design and delivery of end‑to‑end GenAI and ML Ops pipelines, driving scalable AI solutions across enterprise domains using Python, AWS, Kubernetes, and Docker.
About the role
Key Responsibilities
- Architect and maintain robust ML and GenAI deployment pipelines, ensuring high availability, scalability, and security across cloud and on‑prem environments.
- Collaborate with data scientists, product managers, and business stakeholders to translate AI models into production‑ready services.
- Implement CI/CD workflows, containerization, and model monitoring using Docker, Kubernetes, and AWS services.
- Define and enforce best practices for model versioning, reproducibility, and governance.
- Mentor and lead cross‑functional teams, fostering a culture of continuous improvement and innovation.
Requirements
- 10+ years of experience in AI/ML engineering with a focus on productionizing models.
- Deep expertise in Python, ML Ops frameworks, and cloud platforms (AWS preferred).
- Hands‑on experience with Kubernetes, Docker, and CI/CD pipelines.
- Strong understanding of Generative AI technologies and their operational challenges.
- Excellent communication skills and proven ability to lead technical teams.
Skills
pythonmachine learninggenerative aiawskubernetesdocker