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    Machine Learning Engineer - Springfield, United States - General Dynamics

    General Dynamics
    General Dynamics Springfield, United States

    2 weeks ago

    General Dynamics background
    Description
    Responsibilities for this Position
    Location: USA VA Springfield Backlick Rd (VAS110)
    Full Part/Time: Full time
    Job Req: RQ172473

    Type of Requisition:
    Regular

    Clearance Level Must Currently Possess:
    Top Secret/SCI

    Clearance Level Must Be Able to Obtain:
    Top Secret SCI + Polygraph

    Suitability:

    Public Trust/Other Required:

    Job Family:
    Systems Engineering

    Job Qualifications:

    Skills:
    CI/CD, PyTorch, Tensorflow
    Certifications:

    Experience:
    5 + years of related experience
    US Citizenship Required:
    Yes

    Job Description:

    Deliver simple solutions to complex problems as a Machine Learning Engineer at GDIT. Here, you'll tailor cutting-edge solutions to the unique requirements of our clients. With a career in application development, you'll make the end user's experience your priority and we'll make your career growth ours.

    At GDIT, people are our differentiator. As a Machine Learning Engineer you will help ensure today is safe and tomorrow is smarter. Our work depends on TS/SCI cleared Machine Learning Engineer joining our team to support our intelligence customer in Springfield, VA or St. Louis, MO.

    HOW A MACHINE LEARNING ENGINEER WILL MAKE AN IMPACT

    Own your opportunity to serve as a critical component of our nation's safety and security. Make an impact by using your expertise to protect our country from threats.

    Job Description
    • Rapidly prototype containerized multimodal deep learning solutions and associated data pipelines to enable GeoAI capabilities for improving analytic workflows and addressing key intelligence questions. You will be at the cutting edge of implementing State-of-the-Art (SOTA) Computer Vision (CV) and Vision Language Models (VLM) for conducting image retrieval, segmentation tasks, AI-assisted labeling, object detection, and visual question answering using geospatial datasets such as satellite and aerial imagery, full-motion video (FMV), ground photos, and OpenStreetMap.
    WHAT YOU'LL NEED TO SUCCEED:

    Education: Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.

    Experience: 5+ years

    Technical skills:

    Demonstrated experience applying transfer learning and knowledge distillation methodologies to fine-tune pre-trained foundation and computer vision models to quickly perform segmentation and object detection tasks with limited training data using satellite imagery.

    Demonstrated professional or academic experience building secure containerized Python applications to include hardening, scanning, automating builds using CI/CD pipelines.

    Demonstrated professional or academic experience using Python to queryy and retrieve imagery from S3 compliant API's perform common image preprocessing such as chipping, augment, or conversion using common libraries like Boto3 and NumPy.

    Demonstrated professional or academic experience with deep learning frameworks such as PyTorch or Tensorflow to optimize convolutional neural networks (CNN) such as ResNet or U-Net for object detection or segmentation tasks using satellite imagery.

    Demonstrated professional or academic experience with version control systems such as Gitlab.

    Demonstrated experience leveraging CUDA for GPU accelerated computing.

    Skills and abilities desired:

    Demonstrated professional or academic experience with the HuggingFace Transformers library and hub.

    Demonstrated experience with OpenShift and container orchestration within Kubernetes using Helm, Kubectl, Kustomize, or Operators.

    Demonstrated experience with Vision Transformers (ViT) such as DINO or DeiT.

    Demonstrated academic or professional experience communicating methodological choices and model results.

    Demonstrated experience with verification and validation test benches.

    Demonstrated experience with Explainable AI (XAI) techniques.

    Demonstrated experience with Open Neural Net Exchange (ONNX).

    Location: On Company Site

    US Citizenship Required

    GDIT IS YOUR PLACE:
    401K with company match
    Comprehensive health and wellness packages
    Internal mobility team dedicated to helping you own your career
    Professional growth opportunities including paid education and certifications
    Cutting-edge technology you can learn from
    Rest and recharge with paid vacation and holidays

    #RoverGSS

    Scheduled Weekly Hours:
    40

    Travel Required:
    None

    Telecommuting Options:
    Onsite

    Work Location:
    USA VA Springfield

    Additional Work Locations:
    USA MO St. Louis

    We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 30 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.

    We connect people with the most impactful client missions, creating an unparalleled work experience that allows them to see their impact every day. We create opportunities for our people to lead and learn simultaneously. From securing our nation's most sensitive systems, to enabling digital transformation and cloud adoption, our people are the ones who make change real.

    GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.

    PI

    Back To Search ResultsGDIT supports and secures some of the most complex government, defense, and intelligence projects across the country.
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