AI Solutions Leader, PCS Integrated Supply Chain

Job Description SummaryAs an AI Solutions Leader within the GE HealthCare PCS Integrated Supply Chain team, you will lead the development and deployment of advanced AI and machine learning solutions to transform supply chain operations. This role is pivotal in optimizing & improving customer delivery metrics, and integrating AI into end-to-end supply chain processes.
You will work at the intersection of data science, product management, and supply chain innovation—leveraging large language models (LLMs), generative AI, and multi-modal analytics to automate and enhance decision-making across manufacturing and logistics.

Job Description

Key Responsibilities:

• Strategic AI Development: Design and implement cutting-edge machine learning algorithms, with a focus on LLMs and generative models, to automate and optimize clinical and operational workflows across structured and unstructured data sources (e.g., EHRs, imaging, production data).
• Performance Monitoring and KPI improvement: Take ownership of initiatives aimed at enhancing key customer delivery metrics and KPIs, ensuring that AI solutions are aligned with business objectives and customer needs. Establish benchmarks for performance and accuracy through thorough statistical analyses.
• Prototype to Product and Technical Innovation: Develop and implement robust prototypes that transition high-performance AI algorithms into scalable, product-ready solutions.
• Research and Development: Remain updated with industry advancements by exploring and analyzing the latest algorithms and competing technologies to maintain a competitive edge.
• Cross-Functional Collaboration: Collaborate with various teams within the organization to effectively integrate AI capabilities into our core integrated supply chain processes, ensuring alignment with business goals and customer needs, focusing on optimizing customer service delivery.
• Innovation & Research: Stay ahead of industry trends by evaluating emerging technologies, frameworks, and methodologies. Apply insights to maintain a competitive edge in healthcare supply chain innovation.

Basic Qualifications:

• Bachelor’s or master’s degree in a STEM field (Science, Technology, Engineering, Mathematics) with a minimum of 5 years of relevant experience.
• Proven experience with foundational AI models, large language models, or self-supervised learning techniques.
• Experience in building large-scale AI solutions, including generative models and multi-modal AI applications addressing segmentation, detection, and classification challenges.

Preferred Qualifications:

• Strong problem-solving skills with the ability to define and solve abstract challenges.
• Strong ability to tackle abstract problem definitions and devise innovative solutions.
• Experience in data science, including statistical and predictive analytics
• Experience in Power BI, Data science and Data analytics.
• Familiarity with AI frameworks such as DeepSpeed, Hugging Face, Megatron, and PyTorch Lightning.
• Experience with MLOps, ModelOps, and Foundation Model Ops techniques.
• In-depth knowledge of machine learning models and algorithms, particularly in semi-supervised and weakly supervised learning, optimization, and generative models.
• Experience working with Spark, Hadoop, and either PyTorch or TensorFlow.
• Proficiency in high-level programming languages such as Python and C++.
• Experience in manufacturing and supply chain data management and analytics.

Eligibility Requirements:

• Legal authorization to work in the U.S.A.
• Willingness and ability to travel for meetings, workshops, and conferences.

We will not sponsor individuals for employment visas, now or in the future, for this job opening.

Additional Information

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.