AI Systems Engineer Security Clearance

Position: AI Systems Engineer with Security Clearance
Description SAIC is seeking an AI/ML Systems Engineer to join our dynamic Landmark AOS team in Chantilly, VA. Landmark AOS is SAIC's Prime SETA program, supporting the NRO's Ground Enterprise Directorate (GED). As the AI/ML Systems Engineer, you will play a pivotal role in shaping the AI/ML strategy within a particular ground segment for the customer and will be instrumental in driving innovation and delivering cutting-edge solutions to complex problems.

Key Responsibilities to include:
* Collaborate with cross-functional teams to define AI/ML project goals, success criteria, and roadmaps.
* Understand how to design and develop advanced AI/ML models and algorithms that are used to solve complex problems and deliver business value.
* Translate business challenges into AI/ML opportunities, articulating the benefits and trade-offs to non-technical stakeholders.
* Keep abreast of the latest developments in AI/ML technology and introduce best practices to the team.
* Provide mentorship and technical leadership to junior AI/ML practitioners within the team.
* Work closely with customer AND vendor data engineers & architects to ensure the infrastructure and data pipelines are optimized for ML model deployment.
* Support the vendor(s) in conducting rigorous model validation, testing, and performance evaluation to ensure the integrity and quality of AI solutions.
* Ensure the vendor provides documentation regarding the AI/ML processes, methodologies, and findings for knowledge sharing and compliance purposes.
* Be able to translate the information to the government for future work. Qualifications Required

Education and Experience:

* Bachelors and nine (9) years or more experience;
Masters and seven (7) years or more experience;
PhD or JD and four (4) years or more experience. Relevant experience to be substituted in lieu of degree.
* Active Top Secret Clearance with Polygraph.
* Relevant industry experience in designing and implementing AI/ML solutions.
* Strong knowledge of ML frameworks (e.g., Tensor Flow, PyTorch) and programming languages (e.g., Python, R).
* Experience with cloud computing services (e.g., AWS, Azure, Google Cloud) and their AI/ML offerings.
* Proficient in data modeling, data pipeline creation, and deployment of ML models in production environments.
* Familiarity with Dev Ops practices, including MLOps, and CI/CD pipelines for AI/ML.
* Strong analytical and problem-solving skills with the ability to work on complex issues where analysis of situations requires an in-depth evaluation of variable factors.
* Excellent communication and interpersonal skills, with a proven record of engaging stakeholders.