We anticipate the application window for this opening will close on - 22 Oct 2025

 

At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You’ll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world.

A Day in the Life

In this role, you will drive the strategic development of scalable AI and MLOps platforms for defect inspection and visual process monitoring across Medtronic’s diverse product portfolio. You will convert proof-of-concepts into production-grade solutions, ensuring global scalability, reliability, and compliance in regulated manufacturing environments.

At Medtronic, we bring bold ideas forward with speed and decisiveness to put patients first in everything we do. In-person exchanges are invaluable to our work. We’re working a minimum of 4 days a week onsite as part of our commitment to fostering a culture of professional growth and cross-functional collaboration as we work together to engineer the extraordinary. 

• Define and execute the strategic roadmap for Analytics for Manufacturing Imaging, including data ingestion, annotation governance, model training, deployment, and lifecycle management. 

• Architect end-to-end workflows in AWS SageMaker, NVIDIA TAO Toolkit, PyTorch, and other custom training pipelines, ensuring reproducibility, scalability, and regulatory compliance. 

• Develop advanced computer vision solutions, including segmentation, anomaly detection, and transformer-based vision models, while integrating hybrid approaches using Halcon and OpenCV 

• Prototype and adapt foundation models (e.g., DINOv2, SAM 2.1) using transfer learning and self-supervised methods, translating research into validated, domain-specific solutions for manufacturing. 

• Lead initiatives to operationalize DataOps automation and model-assisted annotation to accelerate high-quality ground-truth creation. 

• Plan and direct AI/ML model from experimentation to deployment, ensuring performance benchmarking, validation, and compliance with medical device quality standards. 

• Build compelling business cases supported by ROI analysis and projected operational benefits to prioritize enterprise AI/ML initiatives. 

• Provide strategic leadership for the Manufacturing Imaging & Analytics Center of Excellence, setting best practices and enabling adoption of AI/ML solutions at global manufacturing sites. 

• Partner with Manufacturing, Automation, Process, Quality, and IT to ensure seamless integration of AI/ML models and algorithms into production systems. 

• Engage with external vendors, integrators, and suppliers to align internal platform development with cutting-edge AI/ML and industrial technologies. 

• Champion training, knowledge-sharing, and technical playbooks to democratize AI/ML practices and accelerate adoption across the enterprise. 

People-centered, data-driven, connected. We're solving the world's biggest health challenges with medical device technology. From less-invasive surgery to the world’s smallest pacemaker, our technology transforms lives — powered by AI and data-driven insight. 

 

Must Haves 

• Bachelor’s Degree and 7+ years of AI/ML engineering experience, including computer vision and MLOps, OR advanced degree with 5+ years of experience.