AI-ML Developer

Description

At B&A, we foster and embrace a distinct set of values that we live by and instill in all aspects of our organization: dedication, commitment, partnership, trust, and recognition. We have incorporated these values into successful delivery for our customers since 1988. B&A believes in ensuring its employees feel deeply connected to B&A, recognizing successes and hard work, and providing continuous opportunities to learn and grow.

Our people are entrepreneurial thinkers that combine mindset, vision, and experience to drive value – not only to us as an organization, but to the clients we support. We promote a collaborative culture with our clients, and with each other, as one team working towards a common vision. We’d love for you to join our team!

B&A is looking for an AI-ML Developer to join a contract with a federal government client in support of an important mission. 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.

• 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.
• 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 be substituted.

• Database Knowledge:
  Knowledge of database systems (e.g., SQL, No
  
  SQL) and data warehousing concepts.
• Generative AI Models:
  Proficiency in developing, deploying, and fine-tuning generative AI models, including large language models (LLMs).
• Programming
  
  Languages:
  
  Strong proficiency in programming languages such as Python, R, Java, and C/C++.
• Front-end Development:
  Proficiency in any front-end development technologies (e.g., React, Angular, Vue.js, HTML, CSS, JavaScript).
• Data Analytics:
  Expertise with libraries such as Pandas and Num Py for data manipulation and exploration.
• ML Frameworks:
  Proficiency in ML Modeling concepts and frameworks like Sklearn, Tensor Flow, Keras, PyTorch, and others.
• Data Preprocessing:
  Strong skills in data encoding, normalizing, and regularizing to prepare datasets for ML models.
• Deep Learning:
  Solid understanding of deep learning architectures such as CNNs (Convolutional Neural Networks), RNNs (Recurrent Neural Networks), LSTMs (Long Short-Term Memory networks), and GANs (Generative Adversarial Networks), with the ability to apply them to real-world data sets and problems.
• Anoma…