ML Engineer

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Advanced Software Talent
ML 7 years plus, Pytorch, Demonstrated experience with Python and analysis of image-like data.
Contract W2, 12 Months
Depends on Experience
Work from home available

Job Description

Direct W2 employees! No 3rd party agencies!

Remote until the end of October! Then a combination of remote and onsite!


Job Posting Title

Machine Learning Engineer (Computer Vision)jj

The Early Clinical Development Informatics (ECDi) AI team at client leverages AI to enhance the design and execution of clinical trials. We are seeking a Machine Learning Engineer with passion to support AI/ML projects in computer vision and medical imaging. Responsibilities - Work closely with AI and imaging scientists in machine learning work streams including but not limited to semantic segmentation, object detection and classification.
- Work closely with ML and data engineers in end-to-end machine learning and data pipelines.
- Work closely with front-end developers in developing web-based tools for medical applications. Qualifications: - PhD in a quantitative field (e.g. Computer Science, Computational Biology, Machine Learning, Statistics, Mathematics, Physics), preferably with a thesis on a computer vision-related topic.
- Demonstrated experience with Python and analysis of image-like data.
- Strong knowledge in supervised machine learning and semi-supervised machine learning.
- Proficiency with Pytorch.
- Proficiency using Git version control.
- Excellent communication and collaboration skills. Additional Desired Qualifications - Strong knowledge of classical image processing or computer vision.
- Good knowledge of Generative Adversarial Networks.
- Previous experience in medical image processing is preferred.
- Familiar with Pytorch lightning.
- Familiar with development tools for experiment tracking, dataset versioning, and model management in machine learning.
- Experience with C++, Java or Java Script is a plus.
- Proficiency with Shell script.


Company Information

Since 1979, Advanced Software Talent has developed programs that are specifically designed to find and deliver world-class talent to technology-driven companies. With three decades of trendsetting work in our back pocket, we have earned a reputation for honesty, quality, and integrity.
Dice Id : atstaff
Position Id : 13380
Originally Posted : 2 months ago

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