IAM Engineer - Phoenix, Az

Phoenix, ArizonaHybridContract$50/hr - $90/hrJob Description A leading financial services firm in Chandler, AZ is seeking a Senior Machine Learning Engineer to join their technology innovation team. In this position, you’ll be at the forefront of building state-of-the-art machine learning solutions, taking ownership of projects from the design phase through to on-device deployment. You’ll architect and support robust pipelines for sensor data analysis, shaping ML systems that deliver real-time inference and anomaly detection on resource-constrained hardware. Collaborating closely with hardware, firmware, and platform teams, you’ll be responsible for seamlessly integrating and validating intelligent features within embedded environments. This role will involve building and automating MLOps solutions, overseeing experiment management, and ensuring scalable and compliant machine learning lifecycle practices suited to regulatory demands.Key ResponsibilitiesLead 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 Develop infrastructure and automations for experiment tracking, continuous training, evaluation, and secure model deployment Maintain full documentation for all aspects of the ML lifecycle to enable audit, regulatory compliance, and operational excellence Required Skills & ExperienceExtensive experience working with sensor and streaming data in production settings Expertise in Python and at least one major ML library (PyTorch, TensorFlow, or alternatives) 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 Qualifications5+ 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 Daily ActivitiesThis role is hands-on and project-focused, where you’ll design new ML workflows, transform raw data, and continually iterate on model performance You’ll support firmware engineers by ensuring seamless embedding and runtime validation of ML features Work with DevOps and MLOps teams to automate deployments and create scalable, reliable ML solutions Troubleshoot model issues, and refine algorithms for speed, accuracy, and compliance 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) Applicants must have current authorization to work in the US on a full-time basis, now and in the futureYou will receive the following benefits:Medical Insurance - Four medical plans to choose from for you and your familyDental & Orthodontia BenefitsVision BenefitsHealth Savings Account (HSA)Health and Dependent Care Flexible Spending AccountsVoluntary Life Insurance, Long-Term & Short-Term Disability InsuranceHospital Indemnity Insurance401(k) including match with pre and post-tax optionsPaid Sick Time LeaveLegal and Identity Protection PlansPre-tax Commuter Benefit529 College Saver PlanMotion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.