Senior 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 Senior AI Software Engineer, you will combine strong data science expertise with solid software engineering skills to design, build, and deploy production-grade machine learning systems. This role focuses on developing robust ML models and integrating them into scalable software systems that support real-world applications. The ideal candidate has a strong theoretical foundation in machine learning and data science, along with hands-on experience building ML pipelines, deploying models to production environments, and maintaining reliable ML services. This role works closely with data engineers, software engineers, and product teams to operationalize AI solutions.

• 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. 

• Develop high-quality, maintainable, and testable Python code for ML systems.

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

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

• Collaborate with 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. 

• Work in agile/scrum framework and cross-functionally with data engineers, software engineers, and domain experts. 

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

• Contribute to architectural discussions for AI-enabled platforms and products. 

• • 3+ years of experience in Computer Vision.

  • 3+ years of experience working with large datasets and data engineering workflows.

  • Experience developing scalable data processing pipelines.

  • Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).

  • Experience with distributed data processing or large-scale ML systems.

  • Experience implementing monitoring and observability for ML systems.