AI/ML Engineer (REMOTE)

Stryker • West Palm Beach, FL

86d • $77,200 - $160,800 • Remote

About The Position

Are you ready to shape the future of AI in healthcare? 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.

Requirements

• Bachelor's degree in Computer Science, Data Science, or related field & 0+ years of work experience.
• Strong proficiency in Python and popular ML frameworks/libraries (TensorFlow, PyTorch, scikit-learn).
• Experience with computer vision techniques and frameworks (e.g., YOLO, OpenCV).
• Familiarity with deploying ML models on edge devices or embedded hardware, especially Android-based platforms.

Nice To Haves

• Exposure to programming skills.
• Experience with integrated development environments (IDE) for projects.
• Experience with tools for static/dynamic analysis, memory management, code coverage and techniques for analyzing software.
• Integration and deployment processes.
• Software Development Life Cycle processes.
• Application Lifecycle Management /Traceability tools.
• Regulatory and compliance standards applied to the SDLC (Software Development Life Cycle).
• Knowledge of GCP or similar cloud platforms, including model deployment and management.
• Familiarity with GitLab CI/CD workflows, Docker, Kubernetes, and data optimization in MongoDB or BigQuery.

Responsibilities

• 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.

Benefits

• $77,200 - $160,800 salary plus bonus eligible + benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Miscellaneous Manufacturing
• Education Level: Bachelor's degree