DSCA AI/ML Engineer (Engineer Machine Learning) Senior - 29442

Mission Technologies, a division of HII, is seeking a Senior AI/ML Engineer to support the Defense Security Cooperation Agency's Case Development Modernization effort. The role involves designing, developing, and operationalizing advanced AI/ML solutions on AWS GovCloud to enhance the Foreign Military Sales case lifecycle and improve data transparency and automation.

Responsibilities:

• Designs, develops, and implements statistical and analytical methods, examines processes and systems to consolidate and analyze diverse data sets including structured, semi-structured and unstructured
• Develops and sources software programs, algorithms, dashboards, information tools, and queries to clean, model, integrate and evaluate datasets
• Employs statistical concepts, linguistics and programming skills to develop related techniques and methods for analysis
• Keeps abreast of new analytic methodologies and technologies
• Collaborates with functional business units to drive solutions and directions and interprets and presents findings to enable business decisions
• Design, develop, and operationalize AI-enabled data solutions that ingest, transform, and analyze structured and unstructured data to support production machine learning, generative AI, and decision-support capabilities
• Design, develop, and deploy production-grade AI/ML models to support Case Development Modernization, including semantic search, intelligent document processing, predictive analytics for case timelines, and workflow automation
• Implement Retrieval-Augmented Generation (RAG) architectures and generative AI solutions to improve data discovery, case line recommendations, and stakeholder decision support
• Develop and maintain modern data architectures that enable real-time bi-directional synchronization between legacy Oracle databases and new cloud-native systems while ensuring data integrity and auditability
• Build scalable data pipelines, feature stores, and MLOps processes in IL5 DISA GovCloud environments using tools such as Databricks, SageMaker, or equivalent
• Collaborate with cross-functional teams (Software Engineers, Data Engineers, Product Owners, and SMEs) in a SAFe Agile environment to translate FMS business requirements into AI/ML capabilities
• Ensure all AI/ML solutions comply with DoD standards including Zero Trust, RMF, Section 508, and applicable security controls while supporting automated ATO processes through SBOM generation and continuous monitoring
• Evaluate emerging AI technologies and recommend innovative applications to reduce technical debt and improve efficiency across the case lifecycle
• Develop analytic datasets and support visualizations that provide actionable insights to DSCA leadership and stakeholder
• Performs additional duties as assigned or required to advance mission goals

Requirements:

• Experience developing and deploying production AI/ML solutions using modern frameworks
• Proficiency in Python and experience building production AI/ML systems
• Experience deploying, monitoring, and maintaining AI/ML workloads using cloud-native ML platforms and MLOps practices
• Experience preparing, integrating, and managing structured and unstructured data that supports production AI/ML workloads
• Ability to work independently while thriving in collaborative team settings
• Self-motivated initiator with strong problem-solving skills and a proactive approach
• Must possess and maintain an active Secret clearance at the time of consideration
• Remote-eligible position; must align with Eastern Time Zone core business hours
• Advanced degree (MS or PhD) in Data Science, Computer Science, Statistics, or related field
• Experience implementing RAG architectures and AI-driven semantic search capabilities
• Familiarity with Foreign Military Sales (FMS), DSAMS, or Security Cooperation processes
• Experience with Oracle databases, data migration, and hybrid legacy-to-modern architectures
• Knowledge of DoD IL5 environments, Zero Trust, and RMF processes
• Experience in SAFe Agile environments, including PI planning and Scrum/Kanban ceremonies
• Familiarity with React-based frontends, Kotlin/Quarkus backends, and IBM Cognos Analytics
• Relevant certifications such as AWS Certified Machine Learning – Specialty or equivalent