Applied AI ML Engineer Job Listing at SAIC in REMOTE WORK, NE (Job ID 2511723)

Description

Description

SAIC is seeking an Applied AI/ML Engineer - DoD Systems Integration whowill play a critical role in designing, developing, and deploying advanced AI/ML solutions to support mission-critical systems for the Department of Defense (DoD). The Applied AI/ML Engineer will work on cutting-edge technologies, including large language models (LLMs), computer vision, and advanced analytics, to solve complex challenges in defense and national security. Collaborating with cross-functional teams, the candidate will ensure that AI/ML solutions are robust, secure, and aligned with DoD requirements and compliance standards.

The Applied AI/ML Engineer will be Responsible for but not limited to the following:

• Design, develop, and deploy AI/ML models and pipelines to address DoD-specific challenges, such as predictive analytics, anomaly detection, and decision support systems.
• Build and optimize LLM-based systems for tasks like natural language understanding, document summarization, and knowledge extraction.
• Develop and maintain data pipelines, including preprocessing, feature engineering, and integration with DoD systems.
• Implement and evaluate AI/ML models using rigorous experimental methodologies, including proper train/validation/test protocols, statistical significance testing, and ablation studies.
• Collaborate with system architects, engineers, and program managers to integrate AI/ML solutions into existing DoD systems and workflows.
• Ensure compliance with DoD security and data handling standards, including adherence to the DoD Enterprise DevSecOps initiative.
• Monitor and evaluate the performance of deployed models, iterating to improve accuracy, efficiency, and reliability.
• Stay current with advancements in AI/ML research and apply state-of-the-art techniques to DoD use cases.
• Document technical designs, experimental results, and system performance for both technical and non-technical stakeholders

Qualifications

Required Education:

• Bachelor's degree and five (5) years' experience; additional four (4) years' experience can be considered in lieu of degree.

 

Required Clearance: 

• Must possess an active Secret security clearance with the ability to maintain; US Citizenship required.

 

Required Skills: 

• Experience working with DoD systems, including knowledge of compliance frameworks like RMF (Risk Management Framework) and the DoD Enterprise DevSecOps initiative.
• Hands-on experience with RLHF pipelines, reward modeling, or behavioral policy tuning in LLMs.
• Familiarity with secure coding practices and deployment of AI/ML models in cloud environments (e.g., AWS GovCloud, Azure Government).

• Contributions to open-source projects or publications in applied AI/ML.

   

 

Desired Skills or Required Certifications:

• Experience optimizing RAG systems and tuning retrieval performance using custom embeddings or search strategies.
• Knowledge of integrating AI/ML systems into mission-critical workflows, such as command and control (C2) systems or ISR (Intelligence, Surveillance, and Reconnaissance) platforms.

Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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