IAM Engineer - Phoenix, Az

Key Responsibilities

• Lead the implementation of sensor data pipelines—from requirements through real-world integration
• Design, train, optimize, and deploy ML models specifically for edge or embedded platforms, focusing on performance and reliability
• Combine deep experience in Python with one or more frameworks (PyTorch, TensorFlow) to deliver production-ready models
• Partner with engineering and product teams to embed, monitor, and validate ML inference in device applications
• Build and automate MLOps solutions, oversee experiment management, and ensure scalable and compliant machine learning lifecycle practices suited to regulatory demands

Required Skills & Experience

• Extensive experience working with sensor and streaming data in production settings
• Expertise in Python and at least one major ML library (PyTorch, TensorFlow) to deliver production-ready models
• Practical experience deploying models on edge systems (e.g., TensorRT, ONNX, TFLite, or similar technologies)
• Solid engineering background with proficiency in C or C++ for embedded systems collaboration
• Familiarity with MLOps and model versioning, preferably in a regulated environment

Preferred Qualifications

• 5+ years hands-on ML development, with significant experience in real-time or embedded applications
• Background working on medical, wearable, or robotics platforms highly desirable
• Demonstrated success working in cross-functional teams with hardware/firmware integration
• Experience in high-growth companies or small teams
• Bachelor’s or higher in Computer Science, Engineering, or a related field

Compensation & Benefits

Eligible for performance-based bonus or commission
Comprehensive Benefits Package Including Health, dental, and vision insurance
Paid holidays and vacation
401(k) retirement plan with company match (if applicable)