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
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