AI​/ML Engineer; Computer Vision

Job Title:

AI/ML Engineer (Computer Vision)

Job Category:
Information Technology

Time Type:
Full time

Minimum Clearance Required to Start:
None

Employee Type:
Regular

Percentage of

Travel Required:

Up to 10%

Type of Travel:
Local

* * *

CACI is currently looking for a Senior AI/ML Computer Vision Engineer with Agile methodology experience to join our BEAGLE (Border Enforcement Applications for Government Leading-Edge Information Technology) Agile Solution Factory (ASF) Team supporting the Customs and Border Protection (CBP) client located in Northern Virginia!

• Technical Leadership:
  Lead a 3-person AI/ML engineering team, defining technical direction, sprint goals, code standards, and model evaluation metrics.
• Custom YOLO Architecture:
  Design, modify, and train custom YOLO architectures from scratch, optimized specifically for the unique environment, resolutions, and challenges of CBP's FMV feeds.
• End-to-End Pipeline Architecture:
  Architect the pipeline to ingest, clean, and pre-process production-recorded video data into a secure training/sandbox environment.
• Data Strategy:
  Define annotation/labeling guidelines, manage dataset curation, and implement strategies to handle challenges like class imbalance, varying weather conditions, and low-contrast environments.
• Performance Optimization:
  Optimize model inference speed (FPS) and accuracy (mAP, Precision, Recall) using hardware-acceleration toolkits (e.g., NVIDIA TensorRT, Deep Stream, CUDA).
• System Integration:
  Collaborate with Video Streaming Engineers, Software Engineers, and System Architects to integrate the live CV inference pipeline with the broader application.
• Agile Team Delivery:
  Act as the primary POC for the AI/ML pod, translating system requirements into technical tasking within our Agile/Scrum environment.

Required:

• 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:
  
  Bachelor’s, Master’s, or Ph.D. in Computer Science, Data Science, Electrical Engineering, or a related field with an AI/ML focus.
• Professional
  
  Experience:
  
  7+ years of related technical experience, with 4+ years of dedicated experience developing and deploying Deep Learning/Computer Vision models (with a heavy focus on object detection).
• Location:
  
  Local candidates must be available to work a hybrid schedule in Ashburn, VA.

• Deep learning frameworks (PyTorch preferred, Tensor Flow) and Computer Vision libraries (OpenCV).
• Advanced implementation and fine-tuning of the YOLO family of models (e.g., Ultralytics YOLOv8/v9/v10, Custom YOLO backbones).
• Training deep learning models from scratch, including custom anchor box design, loss function modification, and hyperparameter tuning.
• GPU-accelerated computing using NVIDIA CUDA, cuDNN, TensorRT, or ONNX.
• Working with video streams (RTSP, HLS, files) and frame-by-frame processing.
• Programming in Python (expert level) and writing clean, modular, and optimized code.
• Data curation, active learning, and experience using/managing annotation tools (e.g., CVAT, Label Studio, Roboflow).

• Experience with multi-object tracking (MOT) algorithms (e.g., DeepSORT, Byte Track).
• Familiarity with cloud-based AI infrastructure (AWS Sage Maker, EC2 GPU instances).
• Experience deploying models to edge devices (NVIDIA Jetson, tactical hardware).
• Prior experience working with federal agency datasets or Customs and Border Protection (CBP).

At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing…