AI-ML Developer

Unissant, Inc. delivers innovative capabilities to the agencies that keep our nation healthy and safe. We apply our domain expertise, data acumen, and technology know-how to achieve breakthrough results for our clients. Working collaboratively, we advance missions and careers through a focus on honesty, integrity, and dependability. We continuously look for talent, excited to join that effort. Please visit us at

We are seeking an AI-ML Developer to join our team in Ashburn, Virginia to support the ongoing modernization and maintenance systems for the Department of Homeland Security (DHS), Customs and Border Protection (CBP).

Qualified applicants may be subject to a security investigation and must meet minimum qualifications for access to classified information. This is a highly technical position; individuals will be screened by peers in a technical review of skills and experience.

As the AI/ML developer, an ideal candidate will be part of a team to provide consultative, architectural, program, and engineering support for a federal customer.

• Drive a big data approach to execute government requirements to manage and enrich data to gather new insights.
• Develop, train, and deploy advanced AI/ML models, including generative AI techniques like large language models (LLMs).
• Design and implement innovative AI solutions to address complex business challenges, such as natural language processing.
• Optimize model performance, ensuring accuracy, efficiency, and scalability.
• Develop and maintain user‑friendly AI applications and interfaces, including chatbots, virtual assistants, and generative content tools.
• Collaborate with cross‑functional teams to integrate AI solutions into existing systems and workflows.
• Stay up to date with the latest advancements in AI/ML and emerging technologies, such as generative AI and reinforcement learning.
• Conduct research and experiments to explore new AI techniques and applications, including prompt engineering, advanced RAGs and fine‑tuning LLMs.
• Ensure compliance with data privacy and security regulations, especially when dealing with sensitive data and generative AI outputs.
• Responsible for briefing the benefits and constraints of technology solutions to technology partners, stakeholders, team members, and senior levels of management.

• 5+ years of experience in the Information Technology field focusing on AI/ML engineering projects, MLOps/Dev Sec Ops  and technical architecture specifically.
• Experience in architecture & design, with a preference for 3 years of experience deploying production enterprise applications on‑prem or on cloud.
• Experience with classification, forecasting, transformers, and generative models.
• Experience in data visualization using tools like Plotly and Matplotlib.
• Experience in large‑scale, high‑performance enterprise big data application deployment and solution architecture on complex heterogeneous environment.
• Experience with machine learning and generative AI frameworks.
• Experience with natural language processing techniques (e.g., text classification, language generation).
• Solid understanding of any of the cloud platforms (e.g., AWS, Azure, GCP) and deployment strategies.

• Database knowledge: SQL, No
  
  SQL and data warehousing concepts.
• Generative AI models: proficiency in developing, deploying, and fine‑tuning large language models (LLMs).
• Programming languages:
  Python, R, Java, and C/C++.
• Front‑end development: proficiency in front‑end technologies such as React, Angular, Vue.js, HTML, CSS, JavaScript.
• Data analytics: expertise with libraries such as Pandas and Num Py.
• ML frameworks:
  Sklearn, Tensor Flow, Keras, PyTorch.
• Data preprocessing: strong skills in encoding, normalizing, and regularizing data for ML models.
• Deep learning: understanding of CNNs, RNNs, LSTMs, GANs.
• Anomaly detection: familiarity with techniques and deep learning models.
• Cloud platforms: AWS, Azure or GCP and deployment strategies.

• Bachelor's Degree in Computer Science, Information Technology Management or Engineering is preferred. Alternative work‑related experience, military duty, and/or specialized or higher education may…