AI ML Technical Lead

Job Description

Description

SAIC is looking for an AI ML Technical Lead (SETA) to play a key role in SAIC's Prime Program, Landmark AOS, located in Chantilly, VA. Landmark AOS is a major SETA program supporting the National Reconnaissance Office’s (NRO) Ground Enterprise Directorate (GED) in acquiring systems across their entire life cycle. An active Top Secret/SCI clearance with Polygraph is required for this position.

As the AI ML Technical Lead 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.

Responsibilities to include, but are not limited to:

• Serve as the technical lead the on Artificial intelligence (AI) / Machine learning (ML) project, providing technical guidance and strategic insights.
• 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 fourteen (14) years or more experience; Masters and twelve (12) years or more experience; PhD or JD and nine (9) years or more experience. Relevant experience to be substituted in lieu of degree.
• Active Top Secret/SCI with Poly
• 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.
• Experience working with the Intelligence Community
• 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 and mentoring teams.

Overview

SAIC® is a premier Fortune 500® technology integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, civilian and intelligence markets includes secure high-end solutions in mission IT, enterprise IT, engineering services and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 24,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer, fostering a culture of diversity, equity and inclusion, which is core to our values and important to attract and retain exceptional talent. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.4 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.