About this opportunity
DataJobs lists this Data Scientist – Edge AI & Embedded Systems opportunity in reston, Virginia. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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.
What you’ll do
Source, curate, clean, and label datasets from open-source repositories including GitHub, GitLab, 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 WiFi 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 .
Required qualifications
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 PyTorch or TensorFlow .
Proficiency in Python and common data science libraries such as NumPy, pandas, scikit-learn , as well as Bash scripting .
Experience configuring/building applications in Linux and deploying offline-native applications with Docker .
Technologies
Python, NumPy, pandas, scikit-learn, Bash, PyTorch, TensorFlow, Docker, Linux, GitHub, GitLab, Hugging Face, Kaggle
Benefits
Robust 401(k) with company match
Mental health resources
Student loan repayment assistance
Adoption reimbursement
Pet insurance
Additional eligibility and policy notes
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 140,000 - 205,700 per year. Base pay within the Washington, DC metropolitan area is listed as $140,000.00 - $187,000.00 - $205,700.00 annually ; other locations use geographic cost of labor to determine market‑driven ranges.
#J-18808-Ljbffr
Worksite address
reston, VA, 22090, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.