Senior AI/ML Engineer (REMOTE)

Work Flexibility: Remote or Hybrid or Onsite

What You Will Do

• 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.

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).

• 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.

Preferred Qualifications (Strongly Desired)

• 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.

• Knowledge of Google Cloud Platform or similar cloud platforms, including model deployment and management.

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

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

• 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.

Travel Percentage: 0%

Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer - M/F/Veteran/Disability.

Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.