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Remote Medical Image Deep Learning Jobs in Washington

Proficiency in data science, deep learning, and neural networks. * Ability to travel to local ... Remote work is not permitted. ASSYST Benefits: We are proud to offer a robust benefits package ...

Data Scientist

Mclean, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Data Scientist to join ... Demonstrated professional or academic experience with deep learning frameworks such as PyTorch ...

Data Scientist

Mclean, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Data Scientist to join ... Demonstrated professional or academic experience with deep learning frameworks such as PyTorch ...

AI/ML Subject Matter Expert

Vienna, VA · Remote

$195K - $210K/yr

... in deep learning, transformers, computer vision, NLP, or chatbot developmentExperience in developing Generative AI applications especially using LLMs in domains such as NLP and image ...

Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ... Proficiency in Python and familiarity with machine learning and deep learning libraries such as ...

Showing results 21-40

Remote Medical Image Deep Learning information

What is the difference between Remote Medical Image Deep Learning vs Remote Medical Imaging Technician?

AspectRemote Medical Image Deep LearningRemote Medical Imaging Technician
CredentialsBackground in AI, machine learning, or computer science; often requires advanced degreesCertification in radiologic technology or imaging; typically requires licensing
Work EnvironmentPrimarily remote, focused on data analysis and model developmentRemote or on-site, involved in image acquisition and processing
Industry UsageUsed in healthcare AI development, research, and diagnostics supportUsed in hospitals, clinics, and imaging centers for patient care

Remote Medical Image Deep Learning focuses on developing AI models to analyze medical images, requiring expertise in AI and data science. In contrast, Remote Medical Imaging Technicians handle image acquisition and processing, often with clinical certifications. Both roles are vital in healthcare but differ in skills, responsibilities, and work environment.

What cities in Washington are hiring for Remote Medical Image Deep Learning jobs?

Cities in Washington with the most Remote Medical Image Deep Learning job openings:

Software Developer

ASSYST, Inc.

Sterling, VA • Remote

Full-time

Medical, Dental, Vision, Retirement

Re-posted 14 days ago


Job description

Responsibilities:
  • Assist in the design and coding of software components, units, and modules.

  • Develop prototypes and systems leveraging AI and Machine Learning for client projects and internal systems, applying expertise in software engineering, machine learning algorithms, statistical analysis, and data science.

  • Prepare comprehensive test plans, conduct tests, and identify/debug problems.

  • Review, test, and deploy code changes implemented as part of releases or support activities.

  • Participate in writing product and user documentation.

  • Take proactive action to solve problems that routinely arise.

Special Skills & Minimum Requirements
  • Master's degree in Computer Science or a related field.

  • Expertise in computer architecture and design, software engineering concepts, and AI/ML application development using machine learning algorithms and statistical analysis.

  • Strong background in quality assurance testing to ensure high-quality code.

  • Proficiency in data science, deep learning, and neural networks.

  • Ability to travel to local clients as required by project or client needs.

  • Remote work is not permitted.

ASSYST Benefits:

We are proud to offer a robust benefits package including medical, dental, vision, 401(k) retirement plan, disability insurance, flexible spending accounts and more in order for our employees to maintain a secure work/life balance.

ASSYST is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, national origin or any other characteristic protected under federal, state, or applicable local law