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Hybrid
Full Time Posted a day ago
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Job Type

Full Time

Job Details

What You Will Do

  • Develop, train, evaluate, and deploy machine learning models focused on computer vision and predictive analytics.ÌýÌý

  • 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.ÌýÌý

  • 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).ÌýÌý

  • 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.ÌýÌý

  • Engage in regular knowledge sharing, continuous learning, and mentoring within the technical team. 

What You Need (Required Qualifications)

  • Bachelor's degree in Software Engineering/ Computer Science, Data Science or related discipline & 2+ years of work experience.

  • Strong proficiency in Python and popular ML frameworks/libraries (TensorFlow, PyTorch, scikit-learn).ÌýÌý

  • Experience with computer vision techniques and frameworks (e.g., YOLO, OpenCV).ÌýÌý

  • Familiarity with deploying ML models on edge devices or embedded hardware, especially Android-based platforms. 

Preferred Qualifications (Strongly Desired)ÌýÌý

  • 3+ years of experience developing and deploying AI/ML models in production environments.

  • Experience within regulated industries (healthcare, medtech) and understanding of SOC 2 and HIPAA compliance.ÌýÌý

  • Knowledge of GCP or similar cloud platforms, including model deployment and management.ÌýÌý

  • Understanding of WebRTC and network flow for real-time data analytics.ÌýÌý

  • Familiarity with GitLab CI/CD workflows, Docker, Kubernetes, and data optimization in MongoDB or BigQuery.ÌýÌý

  • Experience with model explainability and compliance documentation for AI systems. 

  • 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.

$87,600 - $186,700 salary plus bonus eligible + benefits. Actual minimum and maximum may vary based on location. Individual pay is based on skills, experience, and other relevant factors.

Health benefits include: Medical and prescription drug insurance, dental insurance, vision insurance, critical illness insurance, accident insurance, hospital indemnity insurance, personalized healthcare support, wellbeing program and tobacco cessation program. Financial benefits include: Health Savings Account (HSA), Flexible Spending Accounts (FSAs), 401(k) plan, Employee Stock Purchase Plan (ESPP), basic life and AD&D insurance, and short-term disability insurance. Stryker offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually. Depending on customer requirements employees and new hires in sales and field roles that require access to customer accounts as a function of the job may be required to obtain various vaccinations as an essential function of their role.
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Senior AI/ML Engineer (REMOTE)
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