Posted:
9/12/2025, 2:16:12 AM
Location(s):
Minnesota, United States ⋅ Fridley, Minnesota, United States
Experience Level(s):
Expert or higher ⋅ Senior
Field(s):
AI & Machine Learning
Workplace Type:
Hybrid
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.
Design, implement, and maintain model training, evaluation, and deployment pipelines for computer vision applications, leveraging AWS SageMaker, Triton Inference Server, and Kubernetes-based orchestration.
Partner with Vision, Manufacturing, and Automation teams to translate feasible models into production-ready inspection systems.
Build scalable image data pipelines for ingestion, annotation, and curation, ensuring datasets are reliable, versioned, and reproducible.
Integrate ML services into manufacturing workflows, bridging OT (Operational Technology) with IT/Cloud platforms.
Implement model observability and monitoring solutions, tracking performance, drift, latency, and GPU utilization for continuous improvement.
Collaborate on continuous improvement initiatives, including CI/CD for ML models, reproducibility, infrastructure-as-code, and workflow automation.
Engage with external partners and internal platform teams to align on standardized architecture for analytics for manufacturing imaging
Provide technical leadership and mentorship in MLOps best practices, supporting both centralized and site-level adoption across Medtronic’s global footprint.
Debug and troubleshoot platform issues as adoption of capabilities scales across the enterprise
People-centered, data-driven, connected. We are transforming medical device manufacturing by fusing advanced AI/ML with scalable infrastructure to deliver reliable, automated inspection at scale — enabling quality and efficiency.
Must Haves
Bachelor’s Degree and 7+ years of experience in Machine Learning / MLOps / Software Engineering, with a focus on computer vision applications OR advanced degree and 5+ years of experience
Nice to Have
Proven expertise in AWS cloud services, especially SageMaker, S3, EKS, Lambda, and CloudFormation/Terraform
Hands-on experience with Kubernetes and containerization (Docker, Helm, GPU orchestration) for AI/ML model deployment
Experience developing end-to-end ML pipelines, including CI/CD, experiment tracking, and model/data versioning (e.g., MLflow, Sagemaker)
Strong background in Python and sufficient understanding of AI/DL frameworks (PyTorch, TensorFlow)
Demonstrated ability to deploy computer vision models in production, including optimization for GPU inference (TensorRT, ONNX Runtime, Triton)
Knowledge of model monitoring and observability for drift, performance, and compliance in regulated environments
Strong collaboration skills across Data Science, Manufacturing Engineering, and IT functions
The ability to problem solve and troubleshoot machine learning systems
Experience with edge deployment (e.g., NVIDIA Jetson/Orin, DeepStream, or hybrid cloud/on-prem architectures)
Familiarity with manufacturing automation systems (PLC, SCADA, OPC-UA, MQTT) and integrating ML services into production lines
Knowledge of advanced imaging and defect detection algorithms
Familiarity with Industry 4.0 concepts, including IoT integration and digital twins for manufacturing
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.
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.
The following benefits and additional compensation are available to those regular employees who work 20+ hours per week: Health, Dental and vision insurance, Health Savings Account, Healthcare Flexible Spending Account, Life insurance, Long-term disability leave, Dependent daycare spending account, Tuition assistance/reimbursement, and Simple Steps (global well-being program).
The following benefits and additional compensation are available to all regular employees: Incentive plans, 401(k) plan plus employer contribution and match, Short-term disability, Paid time off, Paid holidays, Employee Stock Purchase Plan, Employee Assistance Program, Non-qualified Retirement Plan Supplement (subject to IRS earning minimums), and Capital Accumulation Plan (available to Vice Presidents and above, or subject to IRS earning minimums).
Regular employees are those who are not temporary, such as interns. Temporary employees are eligible for paid sick time, as required under applicable state law, and the Employee Stock Purchase Plan. Please note some of the above benefits may not apply to workers in Puerto Rico.
Further details are available at the link below:
Medtronic benefits and compensation plans
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.
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.
If you are applying to perform work for Medtronic, Inc. (“Medtronic”) in any position which will involve performing at least two (2) hours of work on average each week within the unincorporated areas of Los Angeles County, you can find here a list of all material job duties of the specific job position which Medtronic reasonably believes that criminal history may have a direct, adverse and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. Medtronic will consider for employment qualified job applicants with arrest or conviction records in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Website: https://www.medtronic.com/
Headquarter Location: Mumbai, Maharashtra, India
Employee Count: 1001-5000
Year Founded: 1979
IPO Status: Private
Industries: Health Care ⋅ Manufacturing ⋅ Medical Device