Machine Learning Development Engineer - Medical Device (Hybrid - Maple Grove, MN) - Contract

Our Fortune 500 Medical Device client has an exciting opportunity for an Machine Learning Development Engineer. Job Summary: We have an exciting opportunity for a Machine Learning Development Engineer supporting the Interventional Cardiology Therapies (ICTx) R D team. This role will develop machine learning algorithms to deliver life-changing medical devices to patients and clinicians in support of Client's mission. Responsibilities: Develop machine learning models for the AVVIGO+ guidance system. Organize, clean, and manipulate medical imaging datasets. Augment datasets to improve model performance. Train, tune, and validate ML models for classification and segmentation tasks. Collaborate with other ML scientists, algorithm engineers, and data engineers to achieve project goals. Create a strong team culture around high expectations & high performance. In all actions, demonstrate a primary commitment to patient safety and product quality. Required Qualifications Bachelor's Degree, preferably in the engineering, science, or similar discipline. Experience with image processing machine learning model development. Experience with PyTorch, TensorFlow, Pandas, Scikit-learn, and Scipy. 1-4 years of related experience. Preferred Qualifications: Experience with machine learning model development for medical images. Experience with computer vision. Experience with GitHub, Python repositories, and/or Docker containers. Excellent verbal and written communication skills. Excellent organizational, communication, and collaboration skills. Other Details: Schedule: 08:00 AM - 04:30 PM (CDT) Contract Length: 12 Months Work Set-up: Hybrid (3-days onsite) in Maple Grove, MN