Lead AI Automation Engineer at GE HealthCare

Haifa, Haifa District, Israel -

Full Time

Start Date

Immediate

Expiry Date

16 May, 26

Salary

0.0

Posted On

15 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Models, Machine Learning, Deep Learning, PyTorch, TensorFlow, Python, Data Ingestion, Model Deployment, ML Infrastructure, Monitoring, Alerting, Software Engineering, CI/CD, Testing, Version Control

Industry

Hospitals and Health Care

Description

Job Description Summary Job Description Role Summary: The Lead AI Automation Engineer is a production-oriented technical leader responsible for designing, deploying, and maintaining AI and machine learning systems used in GE HC’s products. This role emphasizes building robust, scalable, and reliable production solutions across both medical imaging and text-based AI use cases, working closely with clinical AI scientists, product managers, and software engineers. Responsibilities: Duties include (but are not limited to): Design, implement, and productionize AI models for clinical applications, including both imaging and text-based systems. Own end-to-end model lifecycle: data ingestion, training, evaluation, deployment, monitoring, and iteration. Build and maintain scalable ML infrastructure, pipelines, and model serving solutions. Implement monitoring, alerting, and performance tracking to ensure reliability and quality in production. Drive technical decisions and tradeoffs with a focus on scalability, maintainability, and real-world constraints. Collaborate closely with clinical AI scientists to operationalize research and clinical concepts. Partner with software engineers to integrate AI components into larger systems. Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related discipline. Significant hands-on experience building and deploying ML systems to production. Strong experience with machine learning and deep learning frameworks (e.g., PyTorch, TensorFlow). Proficiency in Python and experience with production-grade data processing. Solid software engineering fundamentals, including testing, version control, CI/CD, and code reviews. Independent, self-learner, and results-oriented. Fluent English (speaking and writing). Availability: Part-time (2–4 days per week). Additional Information The job is open to men and women equally Relocation Assistance Provided: No 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. Together, we are not only building a healthier future but living our purpose to create a world where healthcare has no limits.

Responsibilities

The Lead AI Automation Engineer is responsible for designing, implementing, and productionizing AI models for clinical applications, encompassing both imaging and text-based systems. This includes owning the end-to-end model lifecycle, building scalable ML infrastructure, and ensuring reliability through monitoring and alerting.