

Machine Learning Engineer – Medical Imaging
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer – Medical Imaging, a 12-month contract in Maple Grove, MN, offering $40 - $50/hour. Requires a Bachelor's degree, 1-4 years of experience in medical device manufacturing, and proficiency in PyTorch, TensorFlow, and image processing.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
400
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🗓️ - Date discovered
August 2, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Yes
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📍 - Location detailed
Maple Grove, MN
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🧠 - Skills detailed
#Classification #PyTorch #SciPy #GitHub #TensorFlow #Image Processing #Data Engineering #Security #Containers #Datasets #Docker #ML (Machine Learning) #Pandas #Python
Role description
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Akkodis is Seeking a Machine Learning Engineer – Medical Imaging as a contractor for the location of Maple Grove MN. It is a contract Position for 12 months. Ideally Looking for a candidate with experience in Medical Device Manufacturing Industry.
Pay Range: $40 - $50/hour; The rate may be negotiable based on experience, education, geographic location, and other factors.
Duties
• 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.
Minimum 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.
If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, please contact Punit Pathak at 610 445 8219 or Punit.pathak@akkodisgroup.com.
Equal Opportunity Employer/Veterans/Disabled
Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.
To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy.
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
· The California Fair Chance Act
· Los Angeles City Fair Chance Ordinance
· Los Angeles County Fair Chance Ordinance for Employers
· San Francisco Fair Chance Ordinance