DSCA AI/ML Engineer (Engineer Machine Learning) Senior

DSCA AI/ML Engineer (Engineer Machine Learning) Senior

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 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.

Minimum Qualifications:

• 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.
• Clearance: Must possess and maintain an active Secret clearance at the time of consideration.

Preferred Requirements:

• 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.

Physical Requirements:

• Ability to remain in a stationary position for prolonged periods while working at a computer.
• Ability to operate a keyboard, mouse, and standard office equipment to perform analytical tasks.
• Must be able to effectively communicate in virtual meetings, briefings, and secure collaboration environments.
• Ability to review, analyze, and interpret digital data for extended periods with attention to detail and accuracy.
• Occasional light lifting of documents or equipment up to 10 lbs, if needed for home-office setup.
• Must maintain a home work environment that meets company and government security requirements (e.g., controlled space for handling sensitive or FOUO information, if applicable).
• Must be able to work assigned East Coast core business hours to support program and customer requirements.

HII is more than a job - it's an opportunity to build a new future. We offer competitive benefits such as best-in-class medical, dental and vision plan choices; wellness resources; employee assistance programs; Savings Plan Options (401(k)); financial planning tools, life insurance; employee discounts; paid holidays and paid time off; tuition reimbursement; as well as early childhood and post-secondary education scholarships. Bonus/other non-recurrent compensation is occasionally offered for qualified positions, and if applicable to this role will be addressed by the recruiter at the screening phase of application.