Job Description Summary

The AI/Machine Learning Architect is responsible for designing, developing, and operationalizing advanced data science and machine learning solutions across the product portfolio. This role provides technical leadership in building scalable >

Job Description

Roles and Responsibilities

• Lead the design and architecture of end-to-end data science and machine learning solutions, including data pipelines, model development, deployment, and monitoring.
• Develop and validate predictive models, statistical analyses, and AI algorithms to enhance product functionality and performance.
• Collaborate closely with cross-functional teams (software, hardware, systems engineering) to translate business and product requirements into scalable data solutions.
• Work with global teams to ensure standardization, reusability, and platform consistency across data science solutions.
• Design and implement robust testing and validation frameworks for machine learning models to ensure accuracy, reliability, and regulatory compliance.
• Optimize data infrastructure and workflows to reduce dependency on physical systems and improve development efficiency.
• Lead adoption of MLOps best practices, including CI/CD for models, versioning, monitoring, and governance.
• Provide technical mentorship and guidance to data scientists and engineers.

Quality Specific Goals:

• Aware of and comply with the GEHC Quality Manual, Quality Management System, Quality Management Policy, Quality Goals, and applicable laws and regulations as they apply to this job type/position
• Complete all planned Quality & Compliance training within the defined deadlines
• Identify and report any quality or compliance concerns and take immediate corrective action as required
• Support compliance/closure of Regulatory and Quality requirements before completing Design Outputs/Program Deliverables
• Participate in continuous improvement activities by identifying and appropriately escalating process and product quality gaps, providing solutions when possible

Qualifications:

• Bachelor’s degree in data science, Computer Science, Statistics, Engineering, or related field.
• 15~20 years of experience in data science, machine learning, or advanced analytics.
• Strong experience in machine learning model development, evaluation, and deployment.
• Proficiency in programming languages such as Python, R, or similar, along with data handling frameworks (e.g., Pandas, NumPy)
• Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
• Experience in data pipeline design and big data technologies (e.g., Spark, Hadoop, cloud platforms)
• Understanding of software development lifecycle and model validation/testing practices.
• Experience in object-oriented design methodology and various programming languages, including C/C++, C#
• Working knowledge of cloud environments (Azure, AWS, or GCP) and data platforms
• Business-level English communication skills for global collaboration.

Preferred Qualifications:

• Master’s or PhD in Data Science, Computer Science, AI, Statistics, or related field.
• Experience in healthcare data, medical imaging, or regulated environments.
• Strong knowledge of MLOps, model governance, and explainable AI (XAI).
• Familiarity with data privacy laws and compliance (e.g., HIPAA, GDPR).
• Experience in image processing or medical data formats (e.g., DICOM)
• Strong communication skills for technical leadership and stakeholder engagement.

Inclusion and Diversity

GE Healthcare is an Equal Opportunity Employer where inclusion matters. 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.

We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity.

Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support.

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Additional Information