Senior Machine Learning Engineer
Job Description
Join Medtronic's Global Diabetes Capability Center in Pune as a Senior Machine Learning Engineer, where you'll be at the forefront of transforming diabetes management through innovative solutions and technologies. This role sits within the Digital Technology team, focusing on developing and implementing machine learning solutions that directly impact patient care.
The position offers a unique opportunity to work on meaningful healthcare challenges while leveraging cutting-edge ML technologies. You'll be responsible for designing and implementing machine learning models, working with large datasets, and deploying solutions in production environments. The role requires expertise in both traditional ML approaches and modern techniques including Generative AI.
As part of Medtronic's Diabetes business (which is planned to be separated into a standalone entity), you'll work in a dynamic environment that promotes innovation and growth. The role combines technical leadership with hands-on development, requiring both deep technical expertise and the ability to mentor junior engineers.
The ideal candidate will bring strong experience in production-level code development, distributed computing, and modern ML frameworks. You'll work with cross-functional teams, translating business requirements into technical solutions while maintaining a focus on performance and scalability. The position offers competitive compensation, including participation in the Medtronic Incentive Plan, along with comprehensive benefits.
This is an opportunity to join a global healthcare technology leader with over 95,000 passionate employees worldwide, working towards the mission of alleviating pain, restoring health, and extending life. The role combines technical challenges with meaningful impact, making it ideal for those seeking to advance their career while contributing to innovative healthcare solutions.
Responsibilities For Senior Machine Learning Engineer
- Design, develop, and implement machine learning models and algorithms to solve complex business problems
- Use software design principles to develop production ready code
- Collect, preprocess, and analyze large datasets to train and evaluate machine learning models
- Optimize and fine-tune machine learning models for performance and accuracy
- Deploy machine learning models into production environments and monitor their performance
- Develop processes and tools to monitor and analyze model performance and data accuracy
- Stay up to date with the latest advancements in machine learning
- Collaborate with cross-functional teams to integrate machine learning solutions
- Document and communicate machine learning solutions
- Mentor and provide guidance to junior Machine Learning Engineers
Requirements For Senior Machine Learning Engineer
- Bachelor's degree in technical discipline (sciences, technology, engineering, or mathematics)
- 5+ years of industry experience in writing production level, scalable code (e.g. in Python)
- 4+ years of experience with machine learning topics
- 4+ years of industry experience with distributed computing frameworks like PySpark
- 4+ years of industry experience with ML frameworks (Spark MLlib, Keras, Tensorflow, PyTorch)
- 4+ years of industry experience with major cloud computing services
- 1+ years of experience in building and scaling Generative AI Applications
- Experience in building Agentic AI applications
- 2+ years of technical leadership leading junior engineers
Benefits For Senior Machine Learning Engineer
- Competitive compensation
- Flexible benefits package
- Short-term incentive (Medtronic Incentive Plan)
- Career development opportunities
- Recognition programs
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