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 DescriptionAs 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, real-time 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.
- Must be a US Citizen with the ability to obtain a TS/SCI + CI Poly security clearance
- Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field
- 5+ years of experience in software engineering, data engineering, and cloud architecture
- Proven ability to conduct advanced data analysis and apply data science methodologies for predictive modeling, pattern of life analysis, and change detection analysis
- Proficiency in Python, C++, and JavaScript
- Proficiency in Linux -- system administration, scripting in Bash, troubleshooting
- Strong expertise in AWS cloud services (compute, storage, networking, IAM)
- 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, AUC) and statistical drift detection methods
- Expertise in containerization and orchestration (Docker, Kubernetes, OpenShift) and CI/CD automation (GitHub Actions, Jenkins)
- Experience with time-series databases and relational databases
- 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
