Compute:

EC2,

ECS, EKS, Lambda Storage:

S3,

EFS Data:

DynamoDB Machine Learning:

SageMaker (training, pipelines, and deployment) Experience with Infrastructure as Code (IaC) tools such as Ansible, Terraform, CloudFormation, or AWS CDK. Familiarity with containerization and orchestration technologies such as Docker, Docker Compose, and Kubernetes. DevOps & Data Engineering Experience building and maintaining continuous integration and continuous deployment (CI/CD) systems, including tools such as GitHub Actions, GitLab CI, or Jenkins. Strong foundation in Linux systems administration. Experience with monitoring and observability practices using tools such as Prometheus, Datadog, or similar technologies. Programming & Software Engineering Understanding of software engineering best practices, including: Software design patterns API development (REST and gRPC) Testing methodologies and maintainable code architecture Research & Applied Machine Learning Experience supporting research environments or collaborating closely with research teams. Ability to work effectively with evolving requirements, experimentation, and iterative development processes. Collaboration & Leadership Ability to lead technical initiatives involving multiple stakeholders and cross-functional teams. Experience mentoring engineers and supporting the adoption of engineering best practices. Strong communication skills with the ability to connect technical concepts across research and engineering audiences. Preferred Qualifications While not required, the following experiences would be valuable: Experience with large-scale distributed computing frameworks such as Spark or Ray. Background in high-performance computing (HPC) or research computing environments. Familiarity with data governance, compliance requirements, or regulated industries. Contributions to open-source projects or published research.

Relevant certifications such as:

RHCSA or

RHCE CKAD AWS

Certified Solutions Architect - Associate Or equivalent hands-on experience What Success Looks Like In this role, you will help create an environment where: Research teams can efficiently train, evaluate, and deploy machine learning models. Reliable and scalable infrastructure enables research teams to innovate with confidence. Best practices for reproducibility, testing, governance, and documentation are consistently adopted. Engineers at all levels receive mentorship and opportunities to grow. Projects are delivered effectively and aligned with organizational priorities. Research and engineering teams work together seamlessly to accelerate meaningful outcomes. Why Join Us? Help build technology that empowers researchers and drives innovation. Work alongside collaborative teams of researchers, engineers, and technical leaders. Contribute to meaningful projects with real-world impact. Grow your technical expertise across cloud infrastructure, machine learning operations, and research computing. Share knowledge, mentor others, and continue developing your leadership skills in a supportive environment. Be part of a culture that values diverse perspectives, continuous learning, and inclusive collaboration. #LI-CC1 We will not sponsor individuals for employment visas, now or in the future, for this job opening. GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.

Relocation Assistance Provided:

Yes At GE HealthCare, we see possibilities through innovation. We're partnering with our customers to fulfill healthcare's greatest potential through groundbreaking medical technology, intelligent devices, and care solutions. Better tools enabling better patient care. 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Research Engineer II - ML Ops