Data Scientist – Edge AI & Embedded Systems

Vantor Services Inc. is seeking a Data Scientist to help bring modern AI and machine learning capabilities to the tactical edge. This on-site role in Reston, VA supports a small team that moves work from concept to completion, including use case definition, dataset sourcing and curation, model training and evaluation, and deployment onto embedded hardware in air-gapped environments
. The position also includes collaboration alongside mission operators and requirements owners to ensure delivered capabilities meet operational expectations.

• Source, curate, clean, and label datasets from open-source repositories including Git Hub, Git Lab, Hugging Face, and Kaggle, as well as operational sensor data
  .
• Train, fine-tune, and evaluate AI/ML models for mission use cases, including computer vision models and LLMs
  .
• Define evaluation methods and metrics to measure accuracy, latency, and reliability in real-world operating conditions.
• Optimize models for resource-constrained embedded hardware using techniques such as quantization, pruning
  , and conversion to edge runtimes.
• Build and deploy offline-native data and ML pipelines in containerized environments using Docker
  .
• Configure and troubleshoot Linux-based embedded systems
  , including compatibility between kernels and hardware drivers.
• Explore and analyze data from digital communication systems
  , including RF, cellular, and Wi Fi sources.
• Evaluate open-source AI software and models to identify options that meet customer operational requirements.
• Work with customers to understand expectations and validate that delivered products align with operational needs.
• Produce supporting documentation, including model performance reports and inputs for user manuals
  .

• Bachelor’s degree or higher in an applicable technical discipline such as data science, computer science, computer engineering, statistics, or electrical engineering.
• At least 5 years of relevant experience.
• U.S. Citizen with an active TS/SCI clearance with CI polygraph
  .
• Solid understanding of AI/ML algorithms, including computer vision models and LLMs
  , plus hands‑on experience training and evaluating models using Py Torch or Tensor Flow
  .
• Proficiency in Python and common data science libraries such as Num Py, pandas, scikit-learn
  , as well as Bash scripting
  .
• Experience configuring/building applications in Linux and deploying offline-native applications with Docker
  .

Python, Num Py, pandas, scikit-learn, Bash, PyTorch, Tensor Flow, Docker, Linux, Git Hub, Git Lab, Hugging Face, Kaggle

• Robust 401(k) with company match
• Mental health resources
• Student loan repayment assistance
• Adoption reimbursement
• Pet insurance

• To be eligible, applicants must be U.S. citizens
  . This position requires an active U.S. Government security clearance; applicants without the required clearance are not eligible for consideration. Employment is contingent on verification of clearance status.
• Certain roles may be subject to U.S. export control laws and require U.S. person status under 8 U.S.C. 1324b(a)(3).

Compensation: USD 140, per year. Base pay within the Washington, DC metropolitan area is listed as $ - $ - $ annually
; other locations use geographic cost of labor to determine market‑driven ranges.