AIML Engineer

CACI is currently looking for a Mid-Level AI/ML Computer Vision Engineer to join our BEAGLE Agile Solution Factory (ASF) Team supporting the Customs and Border Protection (CBP) client located in Northern Virginia!

As a Mid-Level AI/ML Engineer on our Computer Vision team you will work within a specialized 3-person pod dedicated to building custom object detection and classification models using the YOLO framework. Your mission will be to process live and recorded Full-Motion Video (FMV) feeds enabling automated parsing of entities like roads vehicles people and terrain features. You will play a hands-on role in bringing raw production video into our secure training environment curating datasets training models and deploying high-performance inference pipelines.

• Model Training & Experimentation: Train fine-tune and evaluate custom YOLO object-detection models on proprietary datasets. Run experiments with different hyperparameters augmentations and model sizes to find the optimal balance of speed and accuracy.
• Data Engineering & Ingestion: Process clean and format raw video files recorded from production environments into high-quality datasets for training.
• Dataset Annotation & Curation: Manage the data annotation lifecycle labeling images and video frames verifying annotation quality and generating synthetic data where needed.
• Inference Pipeline Development: Write Python scripts to parse video frames feed them into inference engines and export structured prediction data (JSON/Protobuf) representing detected objects.
• Model Evaluation: Generate performance reports confusion matrices and precision-recall curves to identify model blind spots and continuously improve detection capabilities.
• Collaborative Agile Delivery: Work closely with the Senior AI/ML Lead video engineers and developers in an Agile/Scrum framework to deliver production-ready code in short sprints.

• Must be a U.S. Citizen with the ability to pass a CBP background investigation. Criteria include but are not limited to:
  • 3-year check for felony convictions
  • 1-year check for illegal drug use
  • 1-year check for misconduct such as theft or fraud
• Education: College degree (B.S.) in Computer Science Data Science Software Engineering or a related discipline.
• Professional Experience: 35 years of software engineering or data science experience with 2 years of hands-on experience building/training Computer Vision models.
• Location: Must be available to work a hybrid schedule in Ashburn VA.

• Programming in Python and using core machine learning libraries (NumPy Pandas Scikit-Learn).
• Hands-on experience with PyTorch or TensorFlow for training neural networks.
• Experience implementing YOLO (e.g. YOLOv8/v9) for object detection segmentation or classification.
• Familiarity with image and video processing techniques using OpenCV or FFmpeg.
• Data curation formatting and experience using data annotation platforms (e.g. CVAT LabelImg).
• Using Git for version control and collaborating on shared codebases.
• Strong analytical skills with a focus on benchmarking model performance (mAP FPS inference latency).

• Familiarity with containerized development environments (Docker).
• Experience with GPU execution environments and model export formats (ONNX TensorRT).
• Experience with multi-object tracking libraries.
• Familiarity with Agile tools like Jira and Confluence.

What You Can Expect:

A culture of integrity.

At CACI we place character and innovation at the center of everything we do. As a valued team member youll be part of a high-performing group dedicated to our customers missions and driven by a higher purpose to ensure the safety of our nation.

An environment of trust.

CACI values the unique contributions that every employee brings to our company and our customers - every day. Youll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.

A focus on continuous growth.

Together we will advance our nations most critical missions build on our lengthy track record of business success and find opportunities to break new ground in your career and in our legacy.

Pay Range:

There are a host of factors that can influence final salary including but not limited to geographic location Federal Government contract labor categories and contract wage rates relevant prior work experience specific skills and competencies education and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI you will receive comprehensive benefits such as; healthcare wellness financial retirement family support continuing education and time off benefits.

The proposed salary range for this position is: