AI/ML Developer

SAIC; Chantilly (VA); Hybrid; USD 110.000 - 170.000; Vollzeit

Zusammenfassung

SAIC is assembling an early-career AI/ML Developer team in the Solutions and Technology Group to support IC mission use cases. The role is hybrid, requiring on-site work in SCIFs and customer facilities in the Northern Virginia corridor, with remote work as needed.

The ideal candidate has a degree in Computer Science, Data Science, or related field and 2+ years of software/AI/ML experience or a related master's with 0+ years. Proficiency in Python, Git, testing, and ML frameworks is expected.

Qualifikationen

• Foundational proficiency in Python and core software engineering practices (Git, testing, clean code).
• Hands-on exposure to major ML frameworks (PyTorch or TensorFlow).
• Experience with containerization (Docker) and cloud concepts (AWS/Azure).
• Familiarity with front-end tools (React) for demos is a plus.
• Active Top Secret clearance or ability to obtain SCI access.

Aufgaben

• Rapid PoC and demo prototyping for AI/ML applications (GenAI/LLMs, NLP, computer vision).
• Environment setup for unclassified and SCIF-based development.
• Secure deployment and MLOps, containerization and packaging models for secure environments.
• CI/CD pipeline integration and deployment to secure multi-tenant clouds (AWS/Azure).
• Prepare prototype environments for customer demonstrations and maintain clean, well-documented code.

Kenntnisse

Python

Git

Unit testing

Clean code

PyTorch

TensorFlow

Docker

React

Ausbildung

Bachelor's degree in Computer Science, Data Science, Engineering, or related technical discipline

Master's degree in a related technical discipline (optional)

Tools

AWS

Azure

SCIF security environment

Jobbeschreibung

SAIC is building an early-career AI/ML Developer team within our Solutions and Technology Group, reporting to the Intel Space CTO. In this matrixed role, you will support the creation, prototyping, and operationalization of cutting‑edge AI/ML Proof of Concepts (PoCs)-including GenAI/LLMs, NLP, and computer vision-specifically tailored to Intelligence Community (IC) mission use cases. These are dynamic, high‑impact positions supporting multiple IC programs in both unclassified and classified environments. This is a hybrid role for candidates residing in the Northern Virginia corridor, with on‑site work in SCIFs and customer facilities as needed.

Responsibilities include, but are not limited to:

• Rapid PoC & demo prototyping (≈50%): Assist senior developers in designing, coding, and deploying visual AI/ML prototypes (GenAI/LLMs, NLP, computer vision) to address IC mission needs.
• Environment setup: Help configure and maintain development environments and local tooling for both unclassified and SCIF-based AI development.
• Secure deployment & MLOps (≈30%): Collaborate with senior engineers to containerize applications (e.g., Docker) and package models for deployment into secure environments.
• Pipeline integration: Assist in integrating prototypes into CI/CD pipelines and deploying them into secure, multi-tenant cloud environments (AWS and/or Azure).
• Demos & stakeholder support (≈20%): Prepare prototype environments for customer demonstrations and ensure codebases are clean, well-structured, and well-commented.
• Documentation: Draft clear technical documentation, API guides, and system diagrams to support the transition of prototypes into operational systems.

Residency in the Northern Virginia corridor with the ability to support a hybrid work model (remote plus on-site SCIF/customer locations as required).

Active Top Secret clearance with the ability to obtain SCI access

Bachelor's degree in Computer Science, Data Science, Engineering, or related technical discipline and 2+ years of relevant software or AI/ML experience; OR Master's degree in a related technical discipline with 0+ years of relevant experience.

Foundational proficiency in Python and core software engineering practices (e.g., Git-based version control, unit testing, clean code architectures).

Hands-on exposure to at least one major ML framework (e.g., PyTorch or TensorFlow) through coursework, personal projects, internships, or professional tasks.

Clearance Requirements:

• Active Top Secret clearance with the ability to obtain SCI access.
• TS/SCI strongly preferred and may be required for specific program tasking.

Preferred Qualifications:

• Familiarity with Docker and basic cloud concepts in AWS and/or Azure.
• Experience using lightweight frontend tools or frameworks (e.g., React) to build functional, interactive user interfaces for demonstrations.
• Familiarity with Intelligence Community missions, environments, and workflows.

Physical Requirements:

• Works primarily in an office, lab, or SCIF environment using computers and standard office equipment.
• Ability to sit or stand for extended periods while working at a computer workstation.
• May require occasional lifting of laptops and related equipment (up to ~20 lbs).
• Ability to commute to Northern Virginia-area SAIC and customer facilities and to travel occasionally to other customer sites as required by the program.