AI/ML Engineer for Federal Data & AI Solutions

B

Ashburn (VA)

On-site

USD 120,000 - 170,000

Full time

14 days+

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Benefits offered by this job

Health plans
HSA option
Dental coverage
Vision coverage
Life & AD&D
Disability coverage
Paid time off
Training & certifications
401(k)

Job summary

B&A in Ashburn, Virginia, is seeking an AI-ML Developer to support a federal government contract with DHS and CBP. The role focuses on designing, training, and deploying AI/ML solutions in a highly technical environment, with emphasis on privacy and security.

You will work with cross-functional teams to implement NLP, large language models, and data pipelines, ensuring scalable, reliable performance while aligning with government standards and risk management.

Qualifications

  • 5+ years in AI/ML engineering, MLOps/DevSecOps, and technical architecture.
  • Bachelor's degree preferred in CS/IT/Engineering; experience may substitute education.

Responsibilities

  • Drive big data approaches to manage and enrich data for insights.
  • Develop, train, and deploy AI/ML models including LLMs.
  • Design and implement AI solutions for NLP and business challenges.
  • Optimize model performance for accuracy and scalability.
  • Develop AI apps such as chatbots and virtual assistants.
  • Collaborate with cross-functional teams to integrate AI into systems.
  • Stay current with AI trends and tools.

Skills

Python
R
Java
C/C++
Front-end basics
Data analytics
ML frameworks
Data preprocessing
Deep learning
Anomaly detection
Cloud platforms

Education

Bachelor's degree in CS/IT/Engineering

Tools

TensorFlow
Keras
PyTorch
Scikit-learn
Docker
Kubernetes

Job description

B&A in Ashburn, Virginia, is seeking an AI-ML Developer to support a federal government contract with DHS and CBP. The role focuses on designing, training, and deploying AI/ML solutions in a highly technical environment, with emphasis on privacy and security.

You will work with cross-functional teams to implement NLP, large language models, and data pipelines, ensuring scalable, reliable performance while aligning with government standards and risk management.

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