AI/ML Systems Engineer Job Listing at SAIC in Chantilly, VA (Job ID 2600898)

Description

Description

SAIC is seeking a  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., 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.