06th October, 2026
Role: AI/ML Engineer
Location: Dahlgren, VA. (Onsite - Hybrid may be available).
Job Description:
The AI/ML Software Engineer will be part of a team of experts charged with providing support in the areas of cyber analysis and cyber development capabilities in response to the Navy's and DoD's needs for Cyber Situational Awareness (SA), Cyber Command and Control (C2), Mission Assurance, and Homeland Defense.
The program scope includes identifying cyber key terrain by analyzing operational requirements, conducting cyber analyses and assessments, and developing and performing modeling and simulation in support of different cyber threat scenarios.
Additionally, program support includes developing methodology and framework in support of the cyber risk assessment life cycle.
Our team will provide capabilities to support the customer with rapid design, development, testing, deployment, maintenance, and operation of specific software and hardware capabilities to meet current Cyber Defensive needs.
As a Senior Developer on this program, you will be tasked with implementing new features within a critical line of business application that support mission assurance and operational management functions.
Responsibilities:
As an AI/ML Software Engineer on this program, you will use your expertise and experience in the following areas and activities to deliver solutions and services to our customer:
- Working from requirements specifications to develop or modify software applications.
- Designing, coding, benchmark testing, debugging, and documenting application features and changes.
- Reviewing and assessing existing enterprise applications to support new features, performance improvements, upgrades, and ongoing sustainment.
- Participating in performance, load, and stress testing, and remediation of issues identified.
- Participating in security architecture reviews of large enterprise systems.
- Participating in the development of new systems throughout the entire application lifecycle: requirements analysis & definition, system design, implementation, testing, deployment, and sustainment.
- Participating in activities that ensure the successful use of these systems, including developing documentation, test scripts, and training materials.
- Working in an agile team environment participating in sprint planning, retrospectives, reviews, and daily standups.
- You will have the opportunity to work with and grow your expertise alongside a team of software engineering and cybersecurity experts tackling the cyber defense issues of the modern military with creative, innovative solutions.
Required Qualifications/Skills:
- DoDD 8140.01 Information Assurance Management (IAM) Level I certification or higher.
- AI/ML engineering experience that includes designing, developing, and deploying production-scale machine learning systems and infrastructure.
- ML systems experience in deploying, monitoring, and maintaining ML models.
- Proficiency with development toolsets such as Git version control, automated testing frameworks, CI/CD pipelines, and GitLab.
- Data Engineering experience with designing, implementing, supporting, and analyzing enterprise-scale applications that use Extract/Transform/Load (ETL systems, data streaming, and distributed data processing technologies or frameworks).
- Strong database and infrastructure experience with both SQL and NoSQL databases, cloud platforms (Azure), and containerization technologies.
- Experience developing custom visualization solutions for data analysis, monitoring dashboards, and reporting interfaces.
- Comprehensive knowledge of defining and managing software requirements, design, code, benchmark testing, debugging, the software development lifecycle, architecture, and documentation.
- Experience with and proficiency in at least one of the following Object-oriented programming (OOP) languages: C#, Java, or Python.
- Experience with ML engineering: MLOps and model lifecycle management, Cloud-native ML platform development, API design and integration for ML services.
Clearance: - Secret clearance is required to start. Must be willing to get TS /SCI.
Desired Skills/Qualifications:
- Experience building ML systems for cybersecurity applications (threat detection, anomaly detection, security analytics platforms).
- Experience working in Azure, preferably Azure Government.
- Experience working on custom development software projects.
- Experience working with DoD customers.
- Experience working on cybersecurity projects.
- Additional experience in the following technology areas is preferred:
- Kubernetes, Docker, Helm for ML workload orchestration.
- Kubeflow, MLflow, or custom pipeline frameworks.
- ELK Stack (Elasticsearch, Kibana, Beats, Logstash).
- Power BI.
- Apache Jena Fuseki (SPARQL).
- Apache NiFi.
- Continuous Integration/Continuous Deployment (CI/CD) pipeline.
- Automated Testing tools and processes used to support various testing requirements, including data, UI, load/performance, security, and contract testing.
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