Machine Learning Engineer (Active TS/SCI Clearance REQUIRED) with Security Clearance

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Job description

Why WWT? Founded in 1990, World Wide Technology (WWT), a global technology solutions providerleading theAI and Digital Revolution,with $20 billion in annual revenue, combines the power of strategy, execution and partnership to accelerate digital transformational outcomes for large public and private organizations around the world. Through its Advanced Technology Center, a collaborative ecosystem of the world's most advanced hardware and software solutions, WWT helps customers and partners conceptualize, test and validate innovative technology solutions for the best business outcomes and then deploys them at scale through its global warehousing, distribution and integration capabilities. With nearly 10,000 employees and more than 55 locations around the world, WWT's culture, built on a set of core values and established leadership philosophies, has been recognized 13 years in a row by Fortune and Great Place to Work for its unique blend of determination, innovation and leadership focus on diversity and inclusion. With this culture at its foundation, WWT bridges the gap between business and technology to make a new world happen for its customers, partners and communities. Want to work with highly motivated individuals on high-performance teams? Join WWT today! 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 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. 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. REQUIRED SKILLS
Bachelor or Master' Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent experience in lieu of degree.
5+ years experience in the following: 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.
Professional or academic experience building secure containerized Python applications to include hardening, scanning, automating builds using CI/CD pipelines.
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.
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.
Professional or academic experience with version control systems such as Gitlab.
Experience leveraging CUDA for GPU accelerated computing.Desired Skills:
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 in St. Louis, MO US Citizenship & active TS/SCI Security Clearance Required Want to learn more about our Government Services USACE team? Check us out on our platform: The well-being of WWT employees is essential. So, when it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees:
Health and Wellbeing: Health, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness program Financial Benefits: Competitive pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Tuition Reimbursement Paid Time Off: PTO & Holidays, Parental Leave, Sick Leave, Military Leave, Bereavement Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount ProgramEqual Opportunity Employer Minorities/Women/Veterans/Individuals with Disabilities This is a full-time direct hire position and you must currently have an active TS/SCI Level Security Clearance or above. We are not able to offer visa sponsorship, 1099 status, or work with C2C for this role.

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