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