Optional but preferred qualifications: • Strong knowledge of classical image processing or ... This position is remote
Optional but preferred qualifications: • Strong knowledge of classical image processing or ... This position is remote
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Remote Image Processing Scientist information
What are some common challenges faced by Remote Image Processing Scientists when collaborating with cross-functional teams?
What is the difference between Remote Image Processing Scientist vs Remote Computer Vision Engineer?
| Aspect | Remote Image Processing Scientist | Remote Computer Vision Engineer |
|---|---|---|
| Required Credentials | Master's or PhD in Computer Science, Electrical Engineering, or related fields; experience with image processing algorithms | Bachelor's or higher in Computer Science or Electrical Engineering; strong programming skills in Python, C++, and experience with vision libraries |
| Work Environment | Research-focused, often in R&D teams, developing new image processing techniques | Development-focused, implementing and deploying computer vision models in products |
| Employer & Industry Usage | Tech companies, research labs, healthcare, automotive | Tech firms, autonomous vehicles, robotics, security systems |
While both roles involve working with visual data, the Remote Image Processing Scientist primarily focuses on research and developing new algorithms, whereas the Remote Computer Vision Engineer applies these techniques to build practical applications and systems.
What are the key skills and qualifications needed to thrive as a Remote Image Processing Scientist, and why are they important?
What is a Remote Image Processing Scientist?
Job description
Job ID: 21-13833
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 Client and data engineers in end-to-end machine learning and data pipelines.
Qualifications:
• MS or 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.
• Previous industrial experience of deep learning in image processing/computer vision or previous deep learning experience in healthcare industry or research institute.
• Demonstrated experience with Python and analysis of image-like data.
• Strong knowledge in supervised machine learning and semi-supervised machine learning.
• Excellent communication and collaboration skills.
Optional but preferred qualifications:
• Strong knowledge of classical image processing or computer vision.
• Good knowledge of Generative Adversarial Networks.
• Previous experience in medical image processing.
• Familiar with Pytorch lightning.
• Familiar with development tools for experiment tracking, dataset versioning, and model management in machine learning.
* This position is remote
About Intelliswift
Sourced by ZipRecruiter
Intelliswift is consumed with the love for the new. Once a leading staffing company, Intelliswift now possesses the expertise to build data-rich modern platforms, and to create sophisticated systems for data management and analytics for thinking and connected enterprises. We are a global leader in delivering Digital Product Engineering, Data Management & Analytics, Cloud, Digital Enterprise and MSP/VMS staffing solutions. Led by a team of highly passionate and techno-centric innovators, we consciously embed the spirit of loving and embracing everything new in what we do. We ardently believe that companies that Love the New are at an advantage of being ahead of the curve in this age of digital.
Industry
It services
Company size
1,001 - 5,000 Employees
Headquarters location
Newark, CA, US
Year founded
2001