Full Stack Developer & Data Science Team Lead

Company:

SAIC Location:

Chantilly, VA Career Level:

Associate Industries:

Technology, Software, IT, Electronics Description Description Full Stack Developer/ Data Science Team Lead SAIC is seeking a Full Stack Developer Team Lead to design and develop end-to-end AI/Data Science-powered applications as well as serve in a team lead capacity for a small team of embedded data scientists . The candidate will work across departments and branches in an operationally focused center, building and integrating machine learning and large language models into functional web applications. Additional responsibilities include, but not limited to, implementing retrieval augmented generation systems, chatbots, and other tools that drive interaction and insight from large datasets; optimizing the development environment including code repositories, virtual environments and container orchestration tools; and working with APIs and custom infrastructure to connect AI solutions with external services or data sources. The position requires strong communication skills to collaborate across product, design, and project teams to ensue AI features are technically sound and enhance user experience.

Qualifications Required:

TS/SCI with FSP 10+ years of experience in software development and relevant degree Front-end technologies Testing frameworks and code quality tools User authentication workflows React, Vue, Angular Web Applications Python AI integration using Python Experience working in development and prototyping environments such as Sigma Exposure to data science, including data-driven analysis, data structures, and statistical methods. Ability to implement and optimize AI-powered features in real-time applications without compromising performance. Knowledge of advanced AI topics like neural networks, natural language processing, and cutting-edge AI use cases. Experience working with development environments locally and in the cloud, including local machine setups and cloud-native tools. Familiarity with DevOps processes, such as CI/CD pipelines, containerization, and monitoring tools. Competence in collaborative tools and version control systems like GitHub, GitLab, and Bitbucket. Portfolio projects that showcase problem-solving skills, creativity in app development, and thoughtful algorithm choices.

Desired:

Certifications in cloud platforms (e.g., Google Cloud, AWS, Azure) with emphasis on app development or AI deployment Habitual continuous learning, especially around evolving best practices in AI integration and full-stack tooling. 

TYPICAL EDUCATION AND EXPERIENCE

Bachelors and fourteen (14) years or more experience; Masters and twelve (12) years or more experience; PhD or JD and nine (9) years or more experience