AI/ML Computer Vision Engineer — YOLO for FMV (Hybrid)

CACI International; Ashburn (VA); Hybrid; USD 87,000 - 182,000; Full time

Job summary

CACI International in Ashburn, VA seeks a Mid-Level AI/ML Computer Vision Engineer to join the BEAGLE ASF team. You will train and deploy YOLO-based models for CBP applications, process live FMV feeds, curate datasets, build inference pipelines, and evaluate performance in an Agile environment.

The role requires a hybrid schedule in Ashburn, VA, 3–5 years in software or data science with 2+ years CV model experience, and strong Python/PyTorch skills.

Qualifications

• Requires US citizenship with CBP background check eligibility.
• Education: BS in CS/Data Science/Software Eng or related discipline.
• 3–5 years software engineering or data science experience, with 2+ years building/training CV models.

Responsibilities

• Train, fine-tune, and evaluate custom YOLO object-detection models on proprietary datasets.
• Process, clean, and format raw video into high-quality datasets for training.
• Annotate and curate datasets; generate synthetic data when needed.
• Develop inference pipelines; export predictions to JSON/Protobuf.
• Evaluate model performance with reports, confusion matrices, and PR curves.
• Collaborate in Agile/Scrum delivery to produce production-ready code.

Skills

Python

PyTorch

TensorFlow

YOLO

OpenCV

Git

Data annotation

Model evaluation

Education

Bachelor's degree in Computer Science or related field

Tools

CVAT

LabelImg

Docker

ONNX

TensorRT

FFmpeg

Job description

CACI International in Ashburn, VA seeks a Mid-Level AI/ML Computer Vision Engineer to join the BEAGLE ASF team. You will train and deploy YOLO-based models for CBP applications, process live FMV feeds, curate datasets, build inference pipelines, and evaluate performance in an Agile environment.

The role requires a hybrid schedule in Ashburn, VA, 3–5 years in software or data science with 2+ years CV model experience, and strong Python/PyTorch skills.