Senior Machine Learning 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.

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