Posted 1mo ago

AI Engineer

@ ECS
Springfield or Fairfax
HybridFull Time
Responsibilities:Lead initiatives, Develop pipelines, Ensure compliance
Requirements Summary:US citizen with TS/SCI + CI Poly; BS in CS/EE; 5+ years software/data engineering; Python/C++/JavaScript; AWS; AI/ML; LLM; containers; ETL; strong communication.
Technical Tools Mentioned:Databricks, Apache Spark, AWS Glue, Apache Airflow, Python, C++, JavaScript, Linux, AWS, Docker, Kubernetes, OpenShift, GitHub Actions, Jenkins, CI/CD, Time-series databases, Relational databases
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Job Description

Everforth ECS is seeking an AI Engineer to work in our Fairfax, VA office and Springfield, VA customer site to support the development of the next-generation Artificial Intelligence/Machine Learning (AI/ML) solutions. Note: This position is contingent upon Additional Funding.

Position Description

As an AI Engineer, you will leverage statistical and AI/ML algorithms to deliver advanced analytics, including predictive analysis and modeling, pattern-of-life analysis, and remote sensing change detection.  You will manage the entire AI/ML development lifecycle from design and training to deployment and maintenance while ensuring performance, observability, and security. This role contributes to building scalable infrastructure, realtime dashboards, and automated pipelines that enable secure, compliant, and efficient AI operations aligned with mission and business goals.

 

Key responsibilities include:

  • Lead end-to-end data science initiatives, encompassing the design, training, and production deployment of AI/ML algorithms in IL5/IL6 environments.
  • Utilizing data pipelines in Databricks, Apache Spark, and related ETL technologies (e.g., AWS Glue, Apache Airflow).
  • Ensuring compliance with DoD 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.