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 LifeOur Global Diabetes Capability Center in Pune is expanding to serve more people living with diabetes globally. Our state-of-the-art facility is dedicated to transforming diabetes management through innovative solutions and technologies that reduce the burden of living with diabetes.In this role as a Senior Machine Learning Engineer in the Digital Technology team, you will collaborate with data scientists and stakeholders to understand business requirements and translate them into machine learning solutions.
This role offers a dynamic opportunity to join Medtronic's Diabetes business. Medtronic has announced its intention to separate the Diabetes division to promote future growth and innovation within the business and reallocate investments and resources across Medtronic, subject to applicable information and consultation requirements. While you will start your employment with Medtronic, upon establishment of SpinCo or the transition of the Diabetes business to another company, your employment may transfer to either SpinCo or the other company, at Medtronic's discretion and subject to any applicable information and consultation requirements in your jurisdiction.
Responsibilities may include the following and other duties may be assigned:
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 and apply them to improve existing models and algorithms.
Collaborate with cross-functional teams to integrate machine learning solutions into existing systems and workflows.
Document and communicate machine learning solutions, methodologies, and results to technical and non-technical stakeholders.
Mentor and provide guidance to junior Machine Learning Engineers.
Required Knowledge and Experience:
Bachelor’s degree from an accredited institution in a technical discipline such as the 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 one or more of the following machine learning topics: classification, clustering, optimization, recommendation system, deep learning
4+ years of industry experience with distributed computing frameworks such as PySpark
4+ years of industry experience with popular ml frameworks such as Spark MLlib, Keras, Tensorflow, PyTorch, HuggingFace Transformers and other libraries (like scikit-learn, spacy, genism etc.).
4+ years of industry experience with major cloud computing services like AWS or Azure or GCP
1+ years of experience in building and scaling Generative AI Applications, specifically around frameworks like Langchain, PGVector, Pinecone, Bedrock.
Experience in building Agentic AI applications.
2+ years of technical leadership leading junior engineers in a product development setting
Preferred Qualifications:
MS or Ph.D. in Computer Science, Software Engineering, Electrical Engineering, or related fields.
Proficient in containerization services
Proficient in Sagemaker to deploy the models
Experience with working in CICD framework
Experience in deploying and scaling Open source LLM Models
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.
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
