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Job Type
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.Â
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.Â
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.Â
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.Â
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.Â
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.Â
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.