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

HII's Mission Technologies division•Arlington, VA

14d•$180,000 - $200,000•Remote

About The Position

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. 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. 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.

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
9 years relevant experience with Bachelors in related field; 7 years relevant experience with Masters in related field; 4 years relevant experience with PhD in related field; or High School Diploma or equivalent and 13 years relevant experience.

Nice To Haves

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.

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