Job Description

Careers that Change Lives We believe that when people from different cultures, genders, and points of view come together, innovation is the result -- and everyone wins. Medtronic walks the walk, creating an inclusive culture where you can thrive.


Bring your talents to an industry leader in medical technology and healthcare solutions - we're a market leader and growing every day. You can be proud to be a part of technologies that are rooted in our long history of mission-driven innovation. You will be empowered to shape your own career. We support your growth with the training, mentorship, and guidance you need to own your future success. Together, we can transform healthcare.


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.









A Day in the Life



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


• 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.
Must Have: Minimum Requirements



• Bachelors Degree in engineering or MCA.
• Overall 8+ experience in IT, 6+ 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 sstrong problem-solving and communication skills.
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About Medtronic





Together, we can change healthcare worldwide. At Medtronic, we push the limits of what technology, therapies and services can do to help alleviate pain, restore health and extend life. We challenge ourselves and each other to make tomorrow better than yesterday. It is what makes this an exciting and rewarding place to be.




We want to accelerate and advance our ability to create meaningful innovations - but we will only succeed with the right people on our team. Let's work together to address universal healthcare needs and improve patients' lives. Help us shape the future.




Physical Job Requirements




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, recruiter or local HR to understand the Work Conditions and Physical requirements that may be specific to each role. (ADA-United States of America)