DSCA AI/ML Engineer (Engineer Machine Learning) Senior - 29442
HIIAbout the role
Requisition Number: 29442
Required Travel: 0 - 10%
Employment Type: Full Time/Salaried/Exempt
Anticipated Salary Range: $180,000.00 - $200,000.00
Security Clearance: Secret
Level of Experience: Senior
This opportunity resides with Warfare Systems (WS), a business group within HII’s Mission Technologies division. Warfare Systems comprises cyber and mission IT; electronic warfare; and C5ISR systems.
HII works within our nation’s intelligence and cyber operations communities to defend our interests in cyberspace and anticipate emerging threats. Our capabilities in cybersecurity, network architecture, reverse engineering, software and hardware development uniquely enable us to support sensitive missions for the U.S. military and federal agency partners.
Meet HII’s Mission Technologies Division
Our team of more than 7,000 professionals worldwide delivers all-domain expertise and advanced technologies in service of mission partners across the globe. Mission Technologies is leading the next evolution of national defense – the data evolution - by accelerating a breadth of national security solutions for government and commercial customers. Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class. Find the role that’s right for you. Apply today. We look forward to meeting you.
To learn more about Mission Technologies, click here for a short video: https://vimeo.com/732533072
Job Description
Join the growing Warfare Systems Business Group at HII-Mission Technologies! We are seeking a Senior AWS Data Scientist 4 (AI/ML Engineer) to support the Defense Security Cooperation Agency (DSCA) Case Development Modernization (CDM) effort. In this high-impact role, you will design, develop, and operationalize advanced AI/ML solutions on AWS GovCloud to modernize the Foreign Military Sales (FMS) case lifecycle, including the Defense Security Assistance Management System (DSAMS) Case Development and Training Modules. You will leverage machine learning, generative AI, and Retrieval-Augmented Generation (RAG) techniques to enhance data transparency, accelerate case development timelines, enable intelligent automation, and support Executive Order 14268 goals for speed and accountability in security cooperation.
Essential Job 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
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