GE HealthCare is accelerating its transformation through strategic "Big Bets" in Commercial excellence, Logistics optimization, Inventory management, and Manufacturing innovation. The Enterprise AI team is at the forefront of delivering robust, enterprise-grade AI and ML solutions that drive measurable business impact at scale.
Requirements
- Proven ability to apply advanced analytics and machine learning to solve real-world problems in areas such as forecasting, pricing, customer analytics, sales planning, computer vision, and operational optimization.
- Proficiency in ML algorithms, GenAI frameworks, and data engineering.
- Experience with Python, AWS, Azure, and open-source tools (R, SQL, Spark, TensorFlow, Keras, PyTorch, Scikit-learn).
- Demonstrated ability to deploy, monitor, and maintain ML and GenAI models in production environments.
Responsibilities
- Design, build, and deploy AI/ML models that address business challenges in commercial operations, supply chain, manufacturing, and related domains.
- Lead and contribute to data science projects from ideation through implementation, ensuring solutions are robust, scalable, and aligned with organizational priorities.
- Apply best practices in data preparation, feature engineering, model selection, validation, and deployment.
- Participate in code reviews and contribute to technical documentation.
- Stay current with advancements in ML, GenAI, and analytics.
- Proactively identify opportunities to improve existing models and processes.
- Translate complex data science concepts into actionable insights for business partners, supporting decision-making and measurable outcomes.
Other
- Work closely with colleagues in data engineering, ML engineering, analytics, GenAI, and business stakeholders to deliver integrated solutions and drive project success.
- Share knowledge with peers, contribute to team learning, and seek opportunities for professional growth.
- Strong ability to convey complex technical concepts to non-technical stakeholders and senior executives.
- Proven success working in cross-functional, hybrid, and virtual teams.
- Bachelor’s degree in Computer Science, AI, Data Science, Applied Mathematics, or related field. with 3+ years of direct AI/ML experience with demonstrated success building and deploying enterprise-grade solutions at scale.
- We will not sponsor individuals for employment visas, now or in the future, for this job opening.
- For U.S. based positions only, the pay range for this position is $114,400.00-$171,600.00 Annual.
