Our medical devices help more than 10,000 people have healthier hearts, improve quality of life for thousands of people living with chronic pain and movement disorders, and liberate more than 500,000 people with diabetes from routine fingersticks.

• Lead end-to-end AI product development and delivery, including model development, feature engineering, training, validation, deployment, and monitoring.  

• Develop state of the art ML algorithms using medical images, sensors signals and EHR data for Abbott’s medical device customers along the entire care pathway.  

• Partner closely with scientists and ML researchers, translating innovative concepts into reliable, production-ready software and act as the team’s bridge between science and engineering.  

• Ensure strict compliance with regulatory and privacy standards such as HIPAA, GDPR, and Software as a Medical Device (SaMD) guidelines.

• Evaluate and pilot emerging technologies, including large language models, multimodal machine learning techniques, and advanced hardware accelerators.  

• Mentor and guide ML engineers and data scientists, establish coding standards, and conduct detailed design and architectural reviews.  

• Contribute to peer-reviewed publications and generate Intellectual Property materials to drive scientific understanding and innovation in the field. 

• Bachelors Degree in Computer Science, Engineering Mathematics, or related field.

• Minimum 10+ years of experience, Master’s Degree with 8+ years of related experience, or Ph.D. with 5+ years of related experience.

• Experience in building and deploying Machine Learning solutions using various ML algorithms and hands-on experience with Python programming.

• ​Expertise in ML product development on medical images, sensors and EHR data. 

• Excellent understanding of Machine Learning techniques and proficiency in foundational models including fine tuning, algorithm selection and model development lifecycles.

• Experience with GenAI and Agentic AI development including grounding, RAG, MCP and prompt engineering.  

• Experience in data security best practices, data anonymization, synthetic data generation, and federated learning. 

• Experience with cloud databases and ML development in the cloud. ​Publications, patents, or notable contributions to open-source projects. 

• Certifications and specializations in AI/ML, LLMs and Cloud platforms.

• Excellent oral, written and presentation communication skills.

• Team leadership experience and demonstrated mentorship capabilities.

• Experience with senior executive/leadership engagement.