Principal AI/ML Software Engineer

Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact.

At Medtronic, we value what makes you unique. Be part of a company that thinks differently to solve problems, make progress, and deliver meaningful innovations. 

As a Principal AI/ML Software Engineer, you will provide technical leadership in the design, development, deployment, and operationalization of machine learning and computer vision solutions that support connected healthcare technologies. You will work across the full AI lifecycle, from data exploration and model development through production deployment, monitoring, and continuous improvement, while partnering with cross-functional engineering and product teams to deliver scalable, reliable, and maintainable AI-enabled systems.

• Design, develop, and evaluate computer vision and machine learning models to solve complex business and technical problems. 

• Perform data exploration, feature engineering, and model experimentation. 

• Apply appropriate validation and evaluation methodologies to ensure robust model performance. 

• Continuously improve models through experimentation and iterative development. 

• Build end-to-end machine learning pipelines for data ingestion, training, validation, and deployment. 

• Deploy models into production environments as APIs, services, or batch processing pipelines. 

• Implement monitoring and performance tracking for deployed models. 

• Ensure reproducibility, versioning, and lifecycle management of ML models. 

• Lead team to develop high-quality, maintainable, and testable Python code for ML systems. 

• Driving software engineering best practices including modular design, automated testing, and code review. 

• Design scalable services and components that integrate ML models into production applications. 

• Providing technical leadership to engineering teams to integrate ML capabilities into broader systems. 

• Work with cloud-based infrastructure to support ML training and deployment workflows. 

• Implement CI/CD processes for ML pipelines and model releases. 

• Support automation of model retraining and operational monitoring. 

• Ensure reliability, scalability, and observability of ML services. 

• Providing technical leadership to teams with data engineers, software engineers, and domain experts. 

• Translate analytical results into practical solutions and production-ready systems. 

• Influencing architectural discussions for AI-enabled platforms and products. 

• Working in agile/scrum framework and with cross-functional groups to influence the project technical direction.  

• • 8+ years of experience deploying machine learning models into production environments.

  • 8+ years of experience developing computer vision solutions and working with large-scale datasets and data engineering workflows.

  • Experience designing scalable data processing pipelines, distributed computing solutions, or large-scale machine learning systems.

  • Experience with containerization and orchestration technologies, including Docker and Kubernetes, and implementing monitoring and observability capabilities for machine learning services.