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.
Preferred QualificationsRequired 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
Skills Required
- U.S. Citizenship and Active or Interim DoD SECRET clearance with ability to obtain and maintain TS/SCI
- DoDD 8140.01 Information Assurance Management (IAM) Level I certification or higher
- Experience designing, developing, and deploying production-scale machine learning systems and infrastructure
- Experience deploying, monitoring, and maintaining ML models (ML systems)
- Proficiency with development toolsets: Git, automated testing frameworks, CI/CD pipelines, and GitLab
- Data engineering experience: designing, implementing, supporting, and analyzing enterprise-scale ETL, data streaming, and distributed data processing
- Strong database and infrastructure experience with SQL and NoSQL databases, Azure, and containerization technologies
- Experience developing custom visualization solutions, monitoring dashboards, and reporting interfaces
- Comprehensive knowledge of software requirements definition, design, code, benchmark testing, debugging, SDLC, architecture, and documentation
- Proficiency in at least one OOP language: C#, Java, or Python
- Experience with MLOps and model lifecycle management
- Experience with cloud-native ML platform development
- Experience with API design and integration for ML services
ECS Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ECS and has not been reviewed or approved by ECS.
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Healthcare Strength — ECS advertises multiple national-network medical plan options with HSA eligibility alongside dental and vision coverage. Coverage generally begins quickly and is paired with company-paid short- and long-term disability, adding stability to the health package.
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Retirement Support — A 401(k) with Safe Harbor and immediate vesting on employer contributions is emphasized, with an employer match available. Access to an employee stock purchase plan via the parent company provides an additional savings avenue.
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Parental & Family Support — Paid parental leave up to 30 days, adoption assistance, and other family-oriented leaves are highlighted. Feedback suggests these offerings add meaningful value beyond base pay for many roles.
ECS Insights
What We Do
ECS, a segment of ASGN (NYSE: ASGN), delivers advanced solutions and services in cloud, cybersecurity, artificial intelligence (AI), machine learning (ML), application and IT modernization, and science and engineering. The company solves critical, complex challenges for customers across the U.S. public sector, defense, intelligence and commercial industries. ECS maintains partnerships with leading cloud, cybersecurity, and AI/ML providers and holds specialized certifications in their technologies. Headquartered in Fairfax, Virginia, ECS has more than 3,400 employees throughout the U.S. and has been recognized as a Top Workplace by The Washington Post for the last five years.
