AI/ML Engineer

• Design, develop, and deploy AI/ML models and ensembles to address complex challenges in domains such as generative AI, classification, prediction, computer vision, NLP, and reinforcement learning.
• Conduct rigorous testing, validation, and performance evaluation of AI/ML models, ensuring robustness, scalability, and ethical considerations in line with best practices.
• Develop and implement pipelines for data preprocessing, feature engineering, and model training using structured and unstructured datasets.
• Leverage cloud computing platforms and frameworks for scalable AI/ML model development, deployment, and monitoring.
• Collaborate with cross-functional teams, including data scientists, software engineers, and stakeholders, to align AI/ML solutions with organizational objectives and mission requirements.
• Stay current with advancements in AI/ML technologies, frameworks, and tools, incorporating emerging trends into research and development efforts.
• Document research protocols, methodologies, and findings in formats such as technical reports, GitHub repositories, and analytic publications.
• Provide technical guidance and AI/ML engineering expertise to support the transition of prototypes into production environments.

To be eligible for this demanding position, the ideal candidate should demonstrate the following experience and qualifications:

Required Education and Years of Experience:

• Bachelor’s degree in Computer Science, Data Science, Applied Mathematics, Engineering, or a related technical field
• 5 Years of experience on AI/ML or Data Science or highly related field of work with similar scope and responsibilities., * Active TS/SCI with Polygraph Clearance
• 5 years of experience with Python or R programming languages for AI/ML development
• 5 years of experience with Cloud computing services from major providers, including experience with cloud-based AI/ML development and deployment
• 5 years of experience with AI/ML model development and deployment, including model tuning, experimentation, validation, and benchmarking

Desired Qualifications:

• Experience with AI/ML model explainability and interpretability techniques
• Familiarity with Sponsor’s enterprise services, security controls, and data management practices
• Experience with front-end web development frameworks, such as Flask
• Experience with Tableau to produce visualizations and dashboards
• Experience with verification and validation test benches
• Deep learning frameworks, such as PyTorch, TensorFlow, or Keras
• Version control systems, such as GitHub

Telework/Remote Availability: Telework/Remote work currently not authorized

As a fully owned subsidiary of The Boeing Company, BI&A offers an optimal mix of a small company environment with exceptional opportunities supported by a large corporation.

Every day, Boeing Intelligence & Analytics supports global missions by building and delivering intelligence, analytics, and cyber solutions that enable users to advance national security. From hardware and software engineering solutions to analytics that keep this nation safe, we create value that meets users’ needs. With vibrant partnerships and innovative approaches, we serve the Intelligence Community through innovation and vision. We have provided our customers with the tools needed to counter evolve global and cyber threats, and to improve wartime decision-making.

• Our talented employees bring software development, systems engineering, and advanced analytics expertise.
• We offer numerous prime contract opportunities with customers headquartered in Maryland, Virginia, and the District of Columbia, as well as subcontract opportunities that align with our areas of focus and additional opportunities nationwide through our parent company.
• We have current open positions on awarded programs across diverse customer sets and are anticipating upcoming contract awards with a 5-year life cycle and an additional 5 option years.
• Our diverse portfolio allows our employees to move to other projects and teams as they gain further proficiency in their current skill set and learn new skill sets along the way.
• We offer hands-on access to cutting-edge technologies and a culture of technical excellence.