Sr AI/Data Science Engineer – MLOps Engineer Full-time

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
As a Senior ML Ops Engineer, you will play a critical role in the deployment, monitoring, and optimization of machine learning models. You will ensure our ML solutions are high-quality, secure, and scalable, meeting the business needs and aligning with the IT strategy. You will collaborate with data scientists, IT technologists, stakeholders, and vendors to plan, execute, and support the entire ML lifecycle.

As an individual contributor with a mix of technical expertise, strong analytical, interpersonal, and organizational skills, this position is responsible for deploying and managing ML models, automating workflows, and ensuring robust model performance. This role also requires experience in continuous integration/continuous deployment (CI/CD) for ML models and adherence to policies that support health management, operational and financial metrics, and quality outcomes-focused initiatives and performance targets.

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

• Collaborate with data scientists and data engineers to operationalize machine learning models and algorithms.
• Design, build, and maintain scalable and reliable MLOps infrastructure and pipelines for model deployment and monitoring.
• Implement continuous integration and continuous deployment (CI/CD) processes for machine learning models.
• Automate model training, testing, and deployment processes to enhance efficiency and reliability.
• Develop and maintain monitoring and alerting systems to track model performance and data quality in production.
• Work closely with IT operations to ensure the security, compliance, and scalability of MLOps infrastructure.
• Troubleshoot and resolve issues related to model deployment, performance, and scalability.
• Collaborate with cross-functional teams to optimize machine learning workflows and processes.

Required Knowledge and Experience:

• Requires a Bachelor’s Degree in Engineering, MCA, or MSc and 5+ years experience in ML Ops and Data science.
• Strong programming skills in languages such as Python, Java, or Scala.
• Experience with containerization and orchestration tools such as Docker and Kubernetes.
• Proficiency in cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Knowledge of version control systems (e.g., Git) and CI/CD tools (e.g., Jenkins, GitLab CI).
• Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Understanding of DevOps principles and practices.
• Experience with monitoring and logging tools (e.g., Prometheus, ELK stack).
• Self-Starter strong problem-solving and communication skills.

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.

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.

This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).

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