Pharmavise Corporation

Compensation

Full Description

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