Hybrid AI/ML Engineer for National Security & Vision

ecsfederal

Virginia (MN)

Hybrid

USD 125,000 - 150,000

Full time

5 days ago

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Job summary

Everforth ECS is seeking an AI/ML Engineer to provide technical leadership for government and defense AI initiatives. You will design, train, and deploy end‑to‑end ML pipelines, focusing on computer vision, data fusion, and secure scalable infrastructure.

The role requires collaboration with DHS and other agencies and clear communication of complex concepts to stakeholders. The position is hybrid with minimum three onsite days at our Fairfax or Ashburn, VA offices, requiring US citizenship and

Qualifications

Must be US citizen with ability to obtain and maintain a Public Trust determination.
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 (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 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 (AWS Glue, Apache Airflow).
Strong communication skills with the ability to interface with project managers, stakeholders, vendors, and technical staff.

Responsibilities

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 planning, development, and execution of cutting-edge research programs to validate novel AI/ML concepts.
Evaluate emerging technologies for national security impact.
Provide technical leadership and strategic recommendations on AI/ML adoption and implementation.
Set technical direction for advanced computer vision and AI capabilities using remote sensing data.
Conduct rapid feasibility studies and prototype implementations of algorithms and data exploitation approaches.
Prepare high-quality technical briefs, documentation, and presentations for technical and non-technical audiences.
Develop and maintain data pipelines in Databricks, Spark, and related ETL technologies.
Ensure compliance with DHS security and accreditation standards, including STIGs and Impact Level controls.
Oversee data ingestion, curation, and storage for reliable datasets.
Support DevSecOps practices, CI/CD pipelines, and automation to streamline delivery.