We anticipate the application window for this opening will close on - 3 Dec 2024

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 Life

Do you have a passion to transform organizations from data driven to value driven? Would you like to work in an environment where your technical abilities will be challenged on every project? If so, you will be a great addition to Medtronic Diabetes Data and Analytics team. We are seeking a highly skilled and motivated Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will be responsible for developing and implementing machine learning models and algorithms to solve complex business problems. You will work closely with cross-functional teams to gather requirements, design and develop machine learning solutions, and deploy them into production. You will work with cross-functional teams to identify opportunities for data-driven solutions, contribute to the development of innovative data products and develop advanced analytical models and actionable insights that fuel our growth and optimize our operations.

As a Machine Learning Engineer, you will play a critical role in our ML operation. The primary responsibility will be to apply advanced machine learning and computer science techniques to develop, validate, modify, and test modeling systems for specific business needs in production environment.

Our mission drives the need to be a highly skilled, flexible, extremely efficient, versatile, and agile in software product development for the benefit of our patients with Type 1 and Type 2 diabetes in need of intensive insulin therapy.

Diabetes impacts over 500 million people around the world — that’s roughly one in 10 adults. That means you probably know someone affected by this disease. At Medtronic, our Diabetes Operating Unit focuses on improving the lives of those within the global diabetes community. As a business, we strive to empower people with diabetes to live life on their terms by delivering innovation that truly matters and providing support in the ways they need it. We’re committed to meeting people with diabetes where they are in their journey, always with an aim to make their lives easier. Our portfolio of innovative solutions is designed to provide customers greater freedom and better health, helping them achieve better glucose control, while spending less time managing their disease.

* This position is located onsite in Duluth, GA (Hybrid/3 days per week)

Responsibilities may include the following and other duties may be assigned.

• Collaborate with data scientists and stakeholders to understand business requirements and translate them into machine learning solutions.
• 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.

Must Have Requirements:

• Bachelor’s degree with 7+ years of experience
• Or, advanced degree with 5+ years of experience

Preferred Qualifications:

• Strong understanding of machine learning algorithms and techniques, such as supervised and unsupervised learning, deep learning. Deep knowledge in NLP, Computer Vision, and GenAI.
• Strong programming skills in languages such as Python. Must be an expert in writing ML code.
• Working experience with full-stack web development (Flask, Panel).
• Proficiency in data manipulation and analysis using SQL and Spark.
• Hands-on experience in state-of-the-art ML and DL as applied to large-scale datasets.
• Hands-on experience with ML frameworks and libraries (PyTorch, Scikit-learn, NLTK, llama-index, langchain).
• Solid understanding of feature engineering and model evaluation techniques.
• Hands-on experience with cloud computing platforms (AWS). 
• Hands-on experience with data orchestration tools and CI/CD (Github/GitLab).
• Expert in deploying and monitoring ML models and can take care of MLOps.
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Machine Learning, or a related field.
• Proven experience as a Machine Learning Engineer with minimum of 5 years of relevant experience.
• 5-10 years of experience in ML, GenAI, and software development.
• Working experience with big data technologies (Spark).
• Working knowledge of cloud computing platforms (AWS, Databricks).
• Experience with cloud ML platforms (Databricks ML).
• Hands-on experience with data orchestration tools and CI/CD (Databricks Workflow, MLFlow, GitHub Action, GitLab).
• Working knowledge of full-stack web development using FastAPI, Panel, Flask.
• Expert in deploying and monitoring ML models in mass production setting.
• Ability to drive projects.

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. 

The physical demands described within the Responsibilities section of this job description are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. For Office Roles: While performing the duties of this job, the employee is regularly required to be independently mobile. The employee is also required to interact with a computer, and communicate with peers and co-workers. Contact your manager or local HR to understand the Work Conditions and Physical requirements that may be specific to each role.

Benefits & Compensation
 

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.
 

Salary ranges for U.S (excl. PR) locations (USD):$152,800.00 - $229,200.00This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).The base salary range is applicable across the United States, excluding Puerto Rico and specific locations in California. The offered rate complies with federal and local regulations and may vary based on factors such as experience, certification/education, market conditions, and location. Compensation and benefits information pertains solely to candidates hired within the United States (local market compensation and benefits will apply for others).

Medtronic benefits and compensation plans

About Medtronic

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 90,000+ 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.

It is the policy of Medtronic to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Medtronic will provide reasonable accommodations for qualified individuals with disabilities.