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Remote Medical Imaging Machine Learning Jobs in Virginia

Senior Data Engineer

Arlington, VA ยท On-site +1

$135K - $205K/yr

Collaborate closely with Data Scientists to optimize infrastructure supporting machine learning ... Location and Work Hours * 100% Remote (United States) * Standard operating hours between 6:00 AM ...

Senior Data Engineer

Arlington, VA ยท On-site +1

$135K - $205K/yr

Collaborate closely with Data Scientists to optimize infrastructure supporting machine learning ... Location and Work Hours * 100% Remote (United States) * Standard operating hours between 6:00 AM ...

Senior Data Engineer

Arlington, VA ยท On-site +1

$135K - $205K/yr

Collaborate closely with Data Scientists to optimize infrastructure supporting machine learning ... Location and Work Hours * 100% Remote (United States) * Standard operating hours between 6:00 AM ...

Senior ML/AI Engineer #3624294

Richmond, VA ยท On-site +1

$114K - $227K/yr

... or remote candidates residing in approved Eastern Time Zone states. The role offers the opportunity to work on production-grade AI and machine learning solutions, contribute to scalable ML ...

Senior Data Engineer

Herndon, VA ยท Remote

$150K - $195K/yr

... machine learning data pipelines and feature engineering concepts. * Experience working in a remote ... Participation in company benefit offerings include medical, dental, vision, unlimited paid leave ...

Senior Data Engineer

Herndon, VA ยท On-site +1

$150K - $195K/yr

... machine learning data pipelines and feature engineering concepts. * Experience working in a remote ... Participation in company benefit offerings include medical, dental, vision, unlimited paid leave ...

Data Scientist

Herndon, VA ยท On-site +1

... the machine learning development lifecycle, from data curation and synthetic data generation to ... Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ...

Solution Engineer

Herndon, VA ยท Remote

$179K - $318K/yr

This role heavily emphasizes structural data integrity, deep machine learning pipelines, and robust ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

Senior Data Engineer #3624301

Richmond, VA ยท Remote

$114K - $227K/yr

... remote applicants residing in Eastern Standard Time states. The role offers the chance to work on modern data architecture, Lakehouse engineering, machine learning enablement, and production-grade ...

Engineering Data Scientist

Lynchburg, VA ยท On-site +1

$62K - $97K/yr

BWXT's technology is driving advances in medical radioisotope production in North America and ... Your skills in statistical analyses of high volume data, machine learning, machine vision or ...

Engineering Data Scientist

Lynchburg, VA ยท On-site +1

$62K - $97K/yr

BWXT's technology is driving advances in medical radioisotope production in North America and ... Your skills in statistical analyses of high volume data, machine learning, machine vision or ...

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Remote Medical Imaging Machine Learning information

What is a remote medical imaging machine learning specialist?

A remote medical imaging machine learning specialist is a professional who develops and applies machine learning algorithms to analyze medical images, such as X-rays, MRIs, and CT scans, from a remote location. They work with healthcare providers and researchers to improve diagnostic accuracy and streamline image analysis, often using artificial intelligence techniques. This role typically requires expertise in both medical imaging technologies and advanced machine learning, as well as the ability to collaborate virtually with multidisciplinary teams. Their work helps enable faster, more precise medical diagnoses and can contribute to advances in telemedicine.

What are the key skills and qualifications needed to thrive as a Remote Medical Imaging Machine Learning Specialist, and why are they important?

To excel as a Remote Medical Imaging Machine Learning Specialist, you need a solid background in computer science, mathematics, and medical imaging, often supported by a relevant degree (such as in computer science, biomedical engineering, or a related field) and experience with machine learning frameworks. Familiarity with technical tools like Python, TensorFlow, PyTorch, and DICOM imaging systems, along with experience in medical imaging data annotation and model deployment, is typically required. Strong analytical thinking, attention to detail, and effective remote communication skills help differentiate top performers in this field. These competencies ensure the accurate development and deployment of AI models that support clinical decision-making and improve patient outcomes in healthcare environments.

How does a Remote Medical Imaging Machine Learning professional typically collaborate with radiologists and other healthcare experts?

Remote Medical Imaging Machine Learning professionals work closely with radiologists, data scientists, and IT teams to develop and refine AI models for diagnostic imaging. Collaboration often occurs through virtual meetings, shared data annotation platforms, and cloud-based model deployments. Regular feedback from radiologists is essential to ensure the models provide clinically relevant and accurate outputs. This teamwork helps bridge the gap between technical development and real-world clinical needs, leading to more effective and reliable imaging solutions.
What are the most commonly searched types of Medical Imaging Machine Learning jobs in Virginia? The most popular types of Medical Imaging Machine Learning jobs in Virginia are:
What job categories do people searching Remote Medical Imaging Machine Learning jobs in Virginia look for? The top searched job categories for Remote Medical Imaging Machine Learning jobs in Virginia are:
What cities in Virginia are hiring for Remote Medical Imaging Machine Learning jobs? Cities in Virginia with the most Remote Medical Imaging Machine Learning job openings:
Senior Data Engineer

Senior Data Engineer

Ardent Eagle Solutions

Arlington, VA โ€ข On-site, Remote

$135K - $205K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


Job description

Overview

Ardent Eagle Solutions (AES) is seeking an experienced Senior Data Engineer to support the Small Business Administration (SBA), Office of Inspector General (OIG), Technology Solutions Division. This position is responsible for designing, implementing, and maintaining modern Azure-based cloud data architecture supporting fraud analytics, machine learning, and investigative operations. The successful candidate will develop scalable ELT/ETL pipelines, optimize cloud data environments, and build sustainable architecture supporting advanced analytics initiatives.

Background

The Office of the Inspector General (OIG) is an independent and objective oversight office created by the Inspector General Act of 1978, as amended. The Small Business Administration (SBA) OIG provides auditing, investigative, and other oversight services to support and assist SBA in achieving its statutory mission to maintain and strengthen the Nation's economy by protecting the interests of and assisting small businesses and helping families and businesses to recover from disasters. OIG utilizes large volumes of data to perform its auditing and investigative mission sourced from within SBA, other federal agencies, and the private sector. To facilitate the work of OIG audits and investigations, OIG has created the Technology Solutions Division (TSD).

Responsibilities
  • Design, develop, implement, and maintain secure, scalable Azure-based data architecture.
  • Develop and maintain cloud-native ELT/ETL pipelines utilizing Azure Synapse Analytics and Azure Machine Learning.
  • Design modern, code-first data engineering solutions utilizing Python SDKs, REST APIs, CLI tools, and Infrastructure-as-Code methodologies.
  • Build, optimize, and maintain cloud data lakes and warehouse environments.
  • Implement robust error handling, logging, validation, and monitoring across production data pipelines.
  • Manage source control and CI/CD practices supporting data engineering assets.
  • Optimize ingestion, processing, transformation, and storage of structured and unstructured datasets including Parquet and related formats.
  • Develop reusable Python-based data engineering solutions utilizing Pandas and modern data processing frameworks.
  • Create self-service capabilities supporting analyst access to enterprise datasets.
  • Collaborate closely with Data Scientists to optimize infrastructure supporting machine learning workloads.
  • Develop data dictionaries, entity relationship diagrams, pipeline documentation, and standard operating procedures.
  • Expand cloud environments through onboarding of new datasets and services.
  • Evaluate emerging AI-assisted development tools and data engineering technologies.
  • Recommend architectural improvements that improve scalability, reliability, security, and cost efficiency.
QualificationsMinimum Qualifications

Candidates must possess:

  • Five (5)+ years administering SQL databases and performing advanced SQL/T-SQL development.
  • Five (5)+ years designing, implementing, and maintaining cloud-based ELT/ETL solutions.
  • Three (3)+ years utilizing Microsoft Azure Synapse Analytics and Azure Machine Learning.
  • Three (3)+ years developing Python-based data engineering solutions utilizing Pandas.
  • Experience designing modern cloud-based data architectures.
  • Experience implementing scalable data pipelines supporting machine learning workloads.
Preferred Qualifications
  • Experience utilizing PySpark or Polars.
  • Experience implementing Infrastructure-as-Code.
  • Experience developing reusable modular Python code.
  • Experience with Azure Data Lake Storage.
  • Experience implementing CI/CD pipelines.
  • Experience utilizing Git source control.
  • Experience with REST APIs and Azure SDKs.
  • Experience with AI coding assistants and Large Language Model integration.
  • Experience supporting federal agencies or Inspector General organizations.
Education

Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related technical discipline.

Equivalent professional experience may be considered where applicab

Certification(s)Preferred Certifications
  • Microsoft Certified: Azure Data Engineer Associate (DP-203)
  • Microsoft Certified: Azure Administrator Associate
Compensation

$135,000 - $205,000 annually

Actual compensation will be determined by experience, qualifications, location, and contract award.

Location and Work Hours
  • 100% Remote (United States)
  • Standard operating hours between 6:00 AM and 6:00 PM local time, Monday through Friday.
  • Telework is authorized.
  • U.S. Citizenship required.
  • Ability to successfully obtain and maintain a Public Trust determination.
Benefits and EEO

At Ardent Eagle Solutions, we offer a comprehensive benefits package to our employees and their families:

  • Medical/Dental/Vision Coverage
  • Matching 401(k) Plan
  • Continuing Education Assistance
  • Paid Time Off

This job description is intended to describe the general scope of work and level of work that is needed to perform while on task with Ardent Eagle Solutions. Other duties may be assigned.ย Selected candidates may undergo a government security investigation and must fulfill eligibility criteria for accessing classified information. US citizenship may be a prerequisite for certain roles.

Ardent Eagle Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to disability or protected veteran status.

Qualifications:Public TrustEmployment Type: OTHER