Job Description
This AI/ML Engineer will blend cutting-edge machine learning with embedded systems engineering to deliver real-time, intelligent solutions on Android-based IoT devices. As an AI/DevOps Engineer, you will lead the development and deployment of computer vision and predictive models, ensuring they’re not only high-performing but also secure, scalable, and compliant with healthcare regulations like HIPAA and SOC 2. You’ll work cross-functionally to bring AI from concept to production—optimizing models, integrating them into clinical workflows, and driving innovation at the edge of technology and patient care.Develop, train, evaluate, and deploy machine learning models focused on computer vision and predictive analytics. Optimize AI/ML model performance on specialized Android-based IoT devices and embedded systems. Collaborate cross-functionally with engineering, data science, compliance, and product teams to integrate AI models into production workflows. Evaluate new AI/ML technologies and industry trends to enhance business capabilities and product innovation. Implement and validate explainable and interpretable AI methodologies for healthcare regulatory compliance (SOC 2, HIPAA). Document technical designs, decisions, and model performance metrics to meet compliance and audit requirements. Participate in the design and continuous improvement of AI-driven solutions ensuring privacy, security, and scalability. Engage in regular knowledge sharing, continuous learning, and mentoring within the technical team.
About Stryker Corporation
Stryker is one of the world’s leading medical technology companies and is driven to make healthcare better with its customers.