ECS Federal LLC logo

AI Model Engineer

ECS Federal LLC

  • 30+ days ago
  • $125,000–$150,000 Per Year

Highlights

Everforth ECS is seeking an accomplished AI/ML Engineer to provide technical leadership and strategic guidance on the integration of advanced artificial intelligence and machine learning solutions to support mission-critical government and defense objectives. Everforth ECS is seeking an AI Model Engineer to work in a hybrid remote/onsite capacity, with minimum of 3 business days onsite at our Fairfax, VA corporate office and/or our Ashburn, VA customer site.

Numbers & Facts

Location
IndustryStaffing/Employment Agencies
Salary$125,000–$150,000 Per Year
Company Size50 to 99 employees
Year Founded2000
Websitehttp://www.ecs-federal.com/

Description

Everforth ECS is seeking an AI Model Engineer to work in a hybrid remote/onsite capacity, with minimum of 3 business days onsite at our Fairfax, VA corporate office and/or our Ashburn, VA customer site.

Please note: This position is contingent upon contract award

Everforth ECS is seeking an accomplished AI/ML Engineer to provide technical leadership and strategic guidance on the integration of advanced artificial intelligence and machine learning solutions to support mission-critical government and defense objectives. The ideal candidate is innovative with a track record of evaluating, experimenting with, and transitioning emerging technologies into operational use. This role requires exceptional communication skills, strong technical expertise, and experience collaborating across the Department of Homeland Security (DHS) and other government agencies. The AI Engineer will design, train, implement, and maintain end-to-end machine learning algorithms and their pipelines, automating deployment and monitoring processes while ensuring performance, observability, and security. This role contributes to building scalable infrastructure, real‑time dashboards, and automated pipelines that enable secure, compliant, and efficient AI operations aligned with mission and business goals.

Key responsibilities include:

  • Design, build, train, and fine tune computer vision models for object detection, tracking, and classification tasks.
  • Utilize multimodal architectures for robust retrieval and data fusion.
  • Coordinate the planning, development, and execution of cutting-edge research programs designed to experimentally validate novel AI/ML concepts.
  • Evaluate emerging technologies from academia and industry for their potential impact on national security.
  • Serve as a subject matter expert, providing technical leadership and strategic recommendations to government decision-makers on AI/ML technology, adoption, and implementation.
  • Set the technical direction for advanced computer vision and AI capabilities supporting exploitation of remote sensing data, including EO and hyperspectral imagery.
  • Conduct rapid feasibility studies and prototype implementations to evaluate emerging algorithms, model architectures, and data exploitation approaches.
  • Use prototype-driven demonstrations and technical studies to shape applied research programs and support proposal development for new AI initiatives.
  • Advance the application of vision-language and multimodal foundation models for analysis, retrieval, and reasoning over large-scale EO/IR and hyperspectral datasets.
  • Work closely with mission partners to refine problem definitions, evaluate prototype systems, and ensure developed capabilities transition rapidly into operational environments.
  • Prepare and deliver high-quality technical briefings, documentation, and presentations for both technical and non-technical audiences
  • Utilizing data pipelines in Databricks, Apache Spark, and related ETL technologies (e.g., AWS Glue, Apache Airflow).
  • Ensuring compliance with DHS security and accreditation standards, including STIGs and Impact Level controls.
  • Providing architectural oversight on data ingestion, curation, and storage to produce reliable, high-quality datasets for AI/ML development.
  • Supporting DevSecOps practices, CI/CD pipelines, and automation to streamline delivery.

Note: Candidates must be able to clear and maintain a Public Trust Clearance from the US federal gvmt. This requires US Citizenship and the ability to pass an in-depth background check.

Salary Range: $125,000-$150,000

General Description of Benefits

  • Must be a US Citizen with the ability to obtain and maintain a Public Trust determination
  • Minimum Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field
  • 6+ years of experience in software engineering and data engineering
  • Experience with cloud architecture
  • Proficiency with AI/ML frameworks (e.g., TensorFlow, PyTorch, YOLO, ONNX)
  • Proficiency in Linux -- system administration, scripting in Bash, troubleshooting
  • Strong foundation in AI/ML algorithms and ability to implement agentic workflow, and prompt engineering
  • Experience in large language model (LLM) applications
  • Strong understanding of model evaluation metrics (e.g., precision, recall, F1) and statistical drift detection methods
  • Expertise in containerization and orchestration (Docker, Kubernetes, OpenShift) and CI/CD automation (GitHub Actions, Jenkins)
  • Proficiency in building and managing ETL pipelines (e.g. AWS Glue, Apache Airflow)
  • Strong communication skills with the ability to interface and collaborate with project managers, stakeholders, vendors, and technical staff
  • Master's or PhD degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field
  • Prior experience supporting DoD, Intelligence Community, or other U.S. Government programs
  • Experience/familiarity with:
  • Computer Graphics and Computer Vision AI/ML
  • Remote sensing (SAR, EO/IR, MSI, etc.)
  • Network and RF Communications
  • Signal Processing
  • Principle component analysis (PCA)/linear discriminant analysis (LDA)
  • Variational Autoencoders (VAEs)
  • Bayesian Science/Bayes Naive Network
  • Retrieval‑Augmented Generation (RAG) with Graph DB and Relational DB
  • Kalman Filtering
  • Reinforcement Learning (RLHF, PPO, etc.)
  • PostgreSQL, Elastic, MongoDB, Graph DB for supporting data engineering workflows
  • Data governance, metadata management, and compliance frameworks

ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law.

Everforth ECS is the federal segment of Everforth, a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies.

Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow.

We value:

  • Attracting and developing top talent and high-performing teams
  • Fostering a culture that is engaging, accountable, and mission-driven

Meet the challenge. Make a difference with Everforth ECS!

#EverforthECS1

About Company

ECS was founded in 2001 by experienced IT professionals with a commitment to quality processes, people and performance. Led by our Chairman, Roy Kapani, and an experienced executive leadership team, ECS provides our customers with solutions and services that support their critical needs and further mission objectives. This commitment has paved the way for expansive growth, year over year.

ECS gained market share in 2011 in the Department of Defense and Federal spaces through both organic and acquisition growth. In May, ECS completed its first strategic acquisition with the purchase of OAK Management, Inc., a leading provider of marine environmental services, ship systems engineering, maritime consulting and platform acquisition management. The OAK acquisition kicked off ECS’ intention to add tactical acquisitions as a part of its long term strategy to supplement and expand upon organic growth and to build enterprise value. ECS closed out 2011 with the acquisition of Paradigm Technologies, Inc. The Paradigm transaction added approximately 200 employees to ECS’ existing 900+ employees. Paradigm also added new Defense clients for ECS, including the Missile Defense Agency, the Navy’s Program Executive Officer for Integrated Warfare Systems, the United States Marine Corps, and the U.S. Marshals Service.

In 2012, ECS completed the acquisition of iLuMinA Solutions, Inc. iLuMinA brings large-scale Enterprise Resource Planning (ERP) software implementation and infrastructure design and development to ECS’ expanding capabilities.

ECS will continue to invest in corporate infrastructure and quality processes as we grow and enhance our ability to offer professional excellence to both our customers and our employees.

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