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GE HEALTHCARE • Haifa, Haifa District, Israel
Role & seniority: Lead AI Automation Engineer; production-oriented technical leader responsible for design, deployment, and maintenance of AI/ML systems in GE HealthCare products.
Stack/tools: PyTorch, TensorFlow; Python; production-grade data processing; ML infrastructure, pipelines, and model serving; testing, version control, CI/CD.
Design, implement, and productionize AI models for clinical imaging and text-based use cases; own end-to-end model lifecycle (data ingestion, training, evaluation, deployment, monitoring, iteration).
Build and maintain scalable ML infrastructure, pipelines, and model serving; implement monitoring, alerting, and performance tracking for production reliability.
Drive technical decisions with a focus on scalability and maintainability; collaborate with clinical AI scientists to operationalize research and with software engineers to integrate AI components.
Bachelor’s degree in Computer Science, Engineering, or related field.
Significant hands-on experience deploying ML systems to production.
Strong experience with ML/DL frameworks (PyTorch, TensorFlow).
Proficiency in Python and production-grade data processing.
Software engineering fundamentals (testing, version control, CI/CD, code reviews).
Independent, self-learner, results-oriented; fluent English (spoken/written).
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.