Senior Principal Computer Vision AI Engineer

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

As a Senior Principal Computer Vision AI Engineer in the CRDN Operating Unit, you will lead AI innovation and execution for digital initiatives, enhancing product capabilities and business growth.

You will develop an AI/ML plan for the Digital Transformation Office and collaborate with cross-functional teams on AI platform and governance strategies. Expertise in integrating AI into products and operations, especially in healthcare or MedTech, is required. Experience in building and optimizing computer vision algorithms is also essential. 

This role will help CRDN use data and AI to solve problems for clinicians and patients with coronary artery disease and hypertension.

Come for a job, stay for a career!

A Day in The Life Of

• Define and execute an AI/ML/data roadmap: Align technology roadmaps, establish data strategy, implement governance and MLOps processes, manage risks, and create scalable architectures.
• Clinical Needs Translation: Assist cross-functional teams in convert clinical needs into actionable requirements, ensuring AI/ML solutions meet technical and user outcomes in the Cath lab.
• Stakeholder Communication: Present updates and technical roadmaps to stakeholders, aligning with strategic objectives.
• Platform Architectures: Develops edge to cloud architecture for training, inferencing, and MLOps infrastructure. Collaborates with others on the overall data architecture.
• Knowledge Sharing & Best Practices: Facilitate knowledge sharing, discuss best practices, and promote innovation culture.
• Continuous Improvement: Assess AI/ML maturity levels, drive initiatives, and scale use cases, data, and algorithms.
• Deploy Optimized Models: Create and deploy machine learning models to solve business problems, optimize performance, and monitor results.

Key Skills & Experience

• Bachelor’s degree in computer engineering, Software Engineering, Computer Science, Electrical Engineering, or related technical field.
• Minimum of 10 years of relevant experience, or advanced degree with 8 years of experience
• Strong programming skills in languages such as Python
• Hands-on experience in establishing data strategy and data processing pipelines
• Hands-on experience in state-of-the-art Machine Learning, Deep Learning, and Computer Vision in extracting insights from images in real-time
• Strong written and verbal communication & presentation skills
• Proficiency in data manipulation and analysis such as SQL and Spark.
• Hands-on experience with cloud computing platforms (AWS).
• Strong security and data-privacy mindset
• Source Control systems Git/GitHub experience
• Previous healthcare industry experience a plus
• AWS certifications
• Prior experience in digital transformation

Medtronic offer a competitive salary and flexible Benefits Package

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Physical Job Requirements

The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position. 

Benefits & Compensation

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.
 

This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).

About Medtronic

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