BASIC QUALIFICATIONS:

• 5+ years of experience with data science, machine learning, deep learning, and artificial intelligence
• 5+ years of experience with scripting languages, including Python or R
• 2+ years of experience with Generative AI, AI Agents, and Reinforcement Learning
• 2+ years of experience with open-source containerization and container orchestration technologies, including Docker and Kubernetes
• Experience developing data and machine learning solutions
• Experience with MLOps for production and machine learning workloads
• Experience developing data and machine learning-based solutions and deploying them to production with many users
• Secret clearance
• Bachelor’s degree

ADDITIONAL QUALIFICATIONS:

• 2+ years of experience with distributed systems or cloud platforms, including Azure, AWS, GovCloud, or Google Cloud Platform (GCP)
• Experience with DoD information systems

Design and implement effective AI solution architecture or strategy utilizing approaches of various AI technologies and methods to address clients’ business problems and needs, while complying with the organization’s strategies and business goals, and key ethical considerations. Apply leading-edge principles, theories, and concepts, and contribute to the development of new principles and concepts. Work on unusually complex problems and provide highly innovative solutions. Operate with substantial latitude for unreviewed action or decision, and mentor or supervise employees in both company and technical competencies.