AI/ML Engineer

ECS Corporate Services; King George (VA); On-site; USD 140,000 - 185,000; Full time

Job summary

Everforth ECS in Dahlgren, VA is seeking an AI/ML Software Engineer to join a team delivering cyber analysis and development capabilities for Navy and DoD missions.

You will design, develop, test, and deploy production-scale ML systems, implement features in a critical line of business application, and collaborate in an agile, security-focused environment to sustain mission readiness.

Qualifications

• Active DoD SECRET clearance with ability to obtain TS/SCI.
• IAM Level I certification or higher.
• Experience 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, automated testing frameworks, CI/CD pipelines, and GitLab
• Data Engineering experience with ETL, data streaming, and distributed data processing technologies
• Strong database and infrastructure experience with SQL and NoSQL, cloud platforms (Azure), and containerization
• Experience developing custom visualization solutions for data analysis, dashboards and reporting interfaces
• Comprehensive knowledge in software requirements, design, code, lifecycle, architecture, and documentation
• Experience with OOP languages: C#, Java, or Python

Responsibilities

• 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

Skills

AI/ML engineering

CI/CD pipelines

Git version control

Python

C#

Java

Data engineering

SQL/NoSQL databases

Cloud platforms (Azure)

Visualization dashboards

Tools

GitLab

CI/CD tooling

Containerization (Docker)

Azure

Job description

Everforth ECS is seeking a AI/ML Engineer to work in our Dahlgren, VA office.

The Program

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 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 Role

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 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 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 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 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 management
• Cloud‑native ML platform development
• API design and integration for ML services

Salary: $140,000 - $185,000