Lead AI/Data Science Engineer

Responsibilities may include the following and other duties may be assigned

• Collaborate with cross-functional teams, including radiologists, clinical experts, and product managers, to define AI-powered solutions in the medical imaging domain.
• Lead the design and execution of advanced computer vision pipelines for tasks like image segmentation, object detection, classification, and anomaly detection using medical images (CT, MRI, X-ray, ultrasound) .
• Drive preprocessing of large-scale medical image datasets, addressing noise reduction, normalization, and other domain-specific challenges.
• Research, design, and implement state-of-the-art deep learning algorithms using frameworks like TensorFlow, PyTorch , or equivalent for medical imaging use cases.
• Ensure scalability and efficiency of AI models by optimizing them for deployment on cloud and edge devices.
• Perform rigorous validation and testing of models to ensure they meet regulatory and clinical standards for safety and accuracy.
• Mentor a team of data scientists and engineers, providing technical guidance and fostering an environment of innovation.
• Stay at the forefront of advancements in computer vision and medical imaging, integrating cutting-edge techniques into product development.
• Publish and present research findings in internal forums or relevant conferences, contributing to the company s thought leadership in AI and healthcare.

Required Knowledge and Experience

• 10+ years of experience in data science or AI, with at least 6+ years focused on computer vision applications.
• Proven expertise in medical imaging analysis, including working with modalities such as CT, MRI, X-ray, and ultrasound .
• Advanced proficiency in Python and deep learning frameworks (TensorFlow, PyTorch).
• Deep understanding of computer vision techniques, including image segmentation, feature extraction, object detection, and generative models.
• Experience in handling large-scale image datasets, including data wrangling, augmentation, and preprocessing.
• Strong knowledge of DICOM formats, PACS systems, and medical data compliance standards.
• Ability to work within regulated environments and familiarity with FDA/CE requirements for AI in medical devices.
• Excellent communication skills to convey complex AI concepts to non-technical stakeholders and clinical collaborators.
• B. Tech / Masters / Ph. D. in Computer Science, Biomedical Engineering, Electrical Engineering, or a related field with a focus on computer vision or AI.
• 10+ years of professional experience in data science, AI, or machine learning roles, with a track record of leadership in complex projects.

Medtronic offers a competitive Salary and flexible Benefits Package
A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.

We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions.
Our Mission to alleviate pain, restore health, and extend life unites a global team of 95, 000+ passionate people. We are engineers at heart putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary.

Learn more about our business, mission, and our commitment to diversity here