Artificial Intelligence/ Machine Learning Developer at b0291521-07e0-416d-a243-7556983c79c7

Setup: Hybrid
Location: Ashburn, Virginia
Type: Contract
Level: not_specified
Posted: Jul 23, 2026

Description

Bart & Associates is seeking an Artificial Intelligence/ Machine Learning Developer to join a contract with a federal government client in support of an important mission. The role involves developing, training, and deploying advanced AI/ML and Gen-AI models, designing innovative AI solutions, optimizing model performance, and integrating AI solutions into existing systems. The developer will collaborate with cross-functional teams, stay updated on AI/ML advancements, and ensure compliance with data privacy and security regulations.

Required Skills

generative AI models
large language models (LLMs)
natural language processing techniques
cloud platforms
MLOps
DevSecOps
front-end development technologies
database systems
data warehousing concepts
Deep learning concepts and architectures
CNNs
RNNs
GANs
Scikit-Learn
Tensorflow
Keras
Pytorch
Spacy
ThinC
Gensim
Hugging Face models
OpenAI models
Grok

Additional Information

Required Previous Experiences: 3+ years of experience in the Information Technology field focusing on AI/ML engineering projects, MLOps and DevSecOps and technical architecture.
Preferred Qualifications: Enthusiastic, proactive, positive attitude with great listening skills, high integrity, and the ability to work effectively in a team environment.
Adaptability to changing priorities and a willingness to learn and grow are essential.
Excellent organizational skills, and ability to effectively manage concurrent projects.
Comprehensive problem-solving skills with exceptional attention to detail.
Ability to learn, evolve, think creatively and proactively.
Able to work under pressure (at times) and to be extremely flexible with changing priorities
Ability to work independently and in a team setting, take ownership of and complete relatively complex tasks, effectively using available resources, as needed, with minimal guidance.