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AI/ML Engineer

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ECS Federal, LLC

King George, VA (In Person)

Full-Time

Posted 1 week ago (Updated 2 days ago) • Actively hiring

Expires 6/6/2026

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Job Description

EverforthECS is seeking aAI/ML Engineerto work in ourDahlgren,VAoffice.

The ProgramThe 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 Navy's and DoD's needs for Cyber Situational Awareness (SA), Cyber Command and Control (C2), Mission Assurance, and Homeland Defense. 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 cyber risk assessment life cycle. Our team will provide capabilities to support the customer with rapid design, development, test, 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.

The RoleAs 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 applicationsDesigning, coding, benchmark testing, debugging, and documenting application features and changesReviewing and assessing existing enterprise applications, to support new features, performance improvements, upgrades, and ongoing sustainmentParticipating in performance, load, and stress testing, and remediation of issues identifiedParticipating in security architecture reviews of large enterprise systemsParticipating in the development of new systems throughout the entire application lifecycle: requirements analysis & definition, system design, implementation, testing, deployment, and sustainmentParticipating in activities that ensure the successful use of these systems including developing documentation, test scripts, and training materialsWorking in an agile team environment participating in sprint planning, retrospectives, reviews, and daily standupsYou will have the opportunity to work and grow your expertise with a team of software engineering and cyber security experts working to tackle the cyber defense issues of the modern military with creative and innovative solutions.
Required Qualifications/Skills:
S. Citizenship Active or Interim DoD SECRET clearance with ability to obtain and maintain a TS/SCI Clearance.

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 infrastructureML systems experience in deploying, monitoring, and maintaining ML modelsProficiency with development toolsets such as Git version control, automated testing frameworks, CI/CD pipelines, and GitLabData Engineering experience with designing, implementing, supporting, and analyzing enterprise-scale applications that 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 technologiesExperience developing custom visualization solutions for data analysis, monitoring dashboards and reporting interfacesComprehensive knowledge in definition and management of software requirements, design, code, benchmark testing, debugging, software development lifecycle, architecture, and documentation.

Experience with and proficient with at least one of the following Object-oriented programming (OOP) languages: C#, Java, or Python.

Experience with ML engineering:

MLOps and model lifecycle managementCloud-native ML platform developmentAPI design and integration for ML services

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