GE HealthCare · 1 week ago
Senior Staff GenAI/ ML Ops Engineer
United States
Full-time
Remote
Senior Level, Lead/Staff
$139K/yr - $209K/yr
3+ years expGE HealthCare’s Chief Data and Analytics Office (CDAO) delivers innovative data, insights, and AI solutions across the organization. As a GenAI/ML Ops Engineer, you will be at the forefront of operationalizing advanced Machine Learning and Generative AI solutions, designing and maintaining robust development pipelines for high-impact AI applications across key business domains.
AppsHealth CareHealth DiagnosticsHome ImprovementHome RenovationInternetMedical
No H1B
Responsibilities
Develop and operationalize ML and GenAI pipelines to enable scalable, reliable, and secure deployment of AI models across GE HealthCare’s enterprise landscape
Automate model lifecycle management, including model versioning, continuous integration (CI/CD), testing, deployment, observability and monitoring, and governance in alignment with enterprise standards
Partner with IT and cloud teams to optimize infrastructure for AI workloads across hybrid and multi-cloud environments (AWS, Azure)
Collaborate with cross-functional teams — including data scientists, software engineers, architects, and domain experts — to ensure smooth end-to-end delivery of AI solutions
Integrate Generative AI capabilities (e.g., LLMs, multimodal models) into business workflows, enhancing automation, productivity, and decision intelligence
Conduct research and proof-of-concepts to evaluate emerging tools, frameworks, and architectures for GenAI and ML Ops (e.g., LangChain, MLflow, Kubeflow, MS Copilot, OpenAi Agent Builder)
Mentor and guide data science and engineering teams on best practices in productionizing AI models and managing their lifecycle
Qualification
Required
Bachelors degree in Computer Science, Data Science, Engineering, or a related discipline with a strong focus on Machine Learning, Deep Learning, or AI Operations
3–5 years of hands-on experience in developing, deploying, and maintaining ML/AI development pipelines and applications in enterprise environments
Knowledge of API development and orchestration frameworks (FastAPI, Flask, Airflow)
Familiarity with containerization, CI/CD, and DevOps practices (Docker, Kubernetes, GitHub Actions, Jenkins)
Demonstrated expertise in MLOps / GenAIOps tools and frameworks (e.g., MLflow, SageMaker, Bedrock, LangSmith, LangGraph)
Proficiency in Python, cloud platforms (AWS, Azure), and open-source data science tools (Jupyter, SQL, Hadoop, Spark, TensorFlow, Keras, PyTorch, Scikit-learn)
Strong understanding of data preprocessing, feature engineering, and model evaluation in real-world, large-scale environments
Experience with LLMs and generative AI models, including transformers, diffusion models, self-supervised learning, and prompt engineering
Proven ability to translate research and prototypes into scalable enterprise-grade solutions
Excellent communication, collaboration, and stakeholder management skills, with the ability to influence both technical and executive audiences
Curiosity and drive for continuous learning, staying current with advances in GenAI, MLOps, and AI infrastructure technologies
Preferred
Masters degree or PhD preferred
Benefits
Medical
Dental
Vision
Paid time off
A 401(k) plan with employee and company contribution opportunities
Life
Disability
Accident insurance
Tuition reimbursement
Company
GE HealthCare
GE Healthcare provides a wide range of medical technologies and services to healthcare providers and researchers. It is a sub-organization of General Electric.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$5.52BKey Investors
Bill & Melinda Gates Foundation
2024-11-07Post Ipo Secondary· $1.17B
2024-09-12Post Ipo Secondary· $1.29B
2024-02-16Post Ipo Secondary· $1.07B
Leadership Team
Catherine Estrampes
President and CEO, US & Canada
Luiz Verzegnassi
President & CEO, Services
Recent News
2026-01-16
Medical Device Network
2026-01-16
Company data provided by crunchbase