SAIC · 2 hours ago
AI/ML Systems Engineer
SAIC is seeking an AI/ML Systems Engineer to join their dynamic Landmark AOS team in Chantilly, VA. The role involves shaping the AI/ML strategy within a ground segment for the customer, driving innovation, and delivering solutions to complex problems.
Information TechnologySecurityService IndustrySoftware
Responsibilities
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
Qualification
Required
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., TensorFlow, 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 DevOps 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
Company
SAIC
SAIC specializes in IT, enterprise IT, engineering, and professional services.
Funding
Current Stage
Public CompanyTotal Funding
$522.13MKey Investors
U.S. Geothermal
2025-09-22Post Ipo Debt· $500M
2010-09-13Post Ipo Equity· $22M
2006-10-13IPO
Recent News
2025-12-16
2025-12-16
2025-12-05
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