Sr Staff AIOps and DevOps Engineer
Core
Design, deliver, and maintain robust development and deployment pipelines for high-impact Machine Learning and Generative AI applications across GE HealthCare's enterprise landscape.
Role type
Sr Staff AIOps and DevOps Engineer
Builds
Scalable, reliable, and secure deployment of AI models and GenAI capabilities into business workflows.
Domain
Healthcare enterprise AI / MLOps / Generative AI
Deliverable
production ML models
Required skills
Python, cloud platforms (AWS, Azure), containerization, CI/CD, DevOps practices, MLOps/GenAIOps tools, vector databases, RAG pipelines, LLM prompt engineering, LangChain architecture, multi-agent AI ecosystems
Preferred skills
Research and proof-of-concepts for emerging GenAI tools, mentoring data science and engineering teams
Technologies
AWS, Azure, Docker, Kubernetes, GitHub Actions, Jenkins, MLflow, SageMaker, Bedrock, LangSmith, LangGraph, Pinecone, FAISS, Milvus, LangChain, MS Copilot, OpenAi Agent Builder
Responsibilities
Develop and operationalize ML and GenAI pipelines; Automate model lifecycle management including versioning, CI/CD, testing, observability, and governance; Partner with IT and cloud teams to optimize infrastructure for AI workloads; Integrate Generative AI capabilities into business workflows; Conduct research and proof-of-concepts for emerging tools and architectures; Mentor teams on best practices in productionizing AI models
Seniority
Sr Staff, hands-on IC with mentorship
