Medtronic is looking to drive the strategic development of scalable AI and MLOps platforms for defect inspection and visual process monitoring across its diverse product portfolio, converting proof-of-concepts into production-grade solutions that ensure global scalability, reliability, and compliance in regulated manufacturing environments.
Requirements
- designing and deploying production-grade AI/ML solutions in manufacturing environments.
- Expertise in AWS SageMaker, PyTorch, and MLOps toolchains (ClearML, GitLab CI/CD, Docker, Kubernetes/EKS, Helm, Triton Inference Server).
- Strong Expertise in computer vision algorithm development, leveraging both deep learning and hybrid rules-based approaches (Halcon, OpenCV).
- Proficiency with data curation and annotation platforms (Voxel51, V7) for large-scale model training.
- Knowledge of advanced imaging for manufacturing.
- Experience scaling Industry 4.0/IoT cloud-to-edge AI architectures.
- Experience in validation and performance analysis (MSA, IQ/OQ/PQ, TMV) ensuring regulatory compliance and reliability.
Responsibilities
- Define and execute the strategic roadmap for Analytics for Manufacturing Imaging, including data ingestion, annotation governance, model training, deployment, and lifecycle management.
- Architect end-to-end workflows in AWS SageMaker, NVIDIA TAO Toolkit, PyTorch, and other custom training pipelines, ensuring reproducibility, scalability, and regulatory compliance.
- Develop advanced computer vision solutions, including segmentation, anomaly detection, and transformer-based vision models, while integrating hybrid approaches using Halcon and OpenCV
- Prototype and adapt foundation models (e.g., DINOv2, SAM 2.1) using transfer learning and self-supervised methods, translating research into validated, domain-specific solutions for manufacturing.
- Lead initiatives to operationalize DataOps automation and model-assisted annotation to accelerate high-quality ground-truth creation.
- Plan and direct AI/ML model from experimentation to deployment, ensuring performance benchmarking, validation, and compliance with medical device quality standards.
- Provide strategic leadership for the Manufacturing Imaging & Analytics Center of Excellence, setting best practices and enabling adoption of AI/ML solutions at global manufacturing sites.
Other
- The ability and self-motivation to take a strategy and vision, define and manage project deliverables, and deliver scalable project outcomes
- Excellent communication and knowledge-sharing skills, with experience building Centers of Excellence, technical standards, and training frameworks.
- Ability to collaborate effectively with a wide range of stakeholders and internal customers, from manufacturing process to quality and automation engineers
- Minimum of 4 days a week onsite
- Bachelor’s Degree and 7+ years of AI/ML engineering experience, including computer vision and MLOps, OR advanced degree with 5+ years of experience.
