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CACI, INC.-FEDERAL

AI/ML Engineer (Computer Vision)

Ashburn, VA, United States

$105,100-$231,100 · Full-time

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Job details

Pay: $105,100-$231,100
Job type: Full-time
Posting language: English
Posted: Nov 4, 2026

Original job description

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

The Opportunity:

CACI is currently looking for an 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!

Responsibilities:

Design, develop, and implement custom software solutions for a variety of AI/ML-related pilot projects and use cases.

Act as a member of one or more prototyping teams supporting teammates and collaborating to deliver working software applications on short timelines.
Analyze complex project-related problems and creating innovative solutions involving technology, methodology, tools, and solution components.
Actively participate in agile delivery phases and ceremonies including release and sprint planning, artifact creation, sprint testing, demonstrations, and retrospectives
Staying current with the latest advancements in AI technologies, tools, and best practices.
Design systems that can scale horizontally and handle high availability
work with Data Scientist teams to integrate applications with AI/ML, Big Data, or BI solutions
Ability to work independently on a complex task with little direction and management oversight.

· 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: Help 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, DeepStream, CUDA). · System Integration: Collaborate with Video Streaming Engineers, Software Engineers, and System Architects to integrate the live CV inference pipeline with the broader application.

Qualifications:

Required:

· Must be a U.S. Citizen with the ability to pass a CBP background investigation. Criteria include, but are not limited to: o 3-year check for felony convictions o 1-year check for illegal drug use o 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).

Experience with:

· Deep learning frameworks (PyTorch preferred, TensorFlow) 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, LabelStudio, Roboflow).

Desired:

· Experience with multi-object tracking (MOT) algorithms (e.g., DeepSORT, ByteTrack). · Familiarity with cloud-based AI infrastructure (AWS SageMaker, 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).

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, you’ll be part of a high-performing group dedicated to our customer’s 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. You’ll 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 nation's 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.

Since this position can be worked in more than one location, the range shown is the national average for the position.

The proposed salary range for this position is:

$105,100-$231,100

CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

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Skills

ML
Work independently
ICT system integration
Computer science
Electrical engineering
Deep learning
PyTorch
TensorFlow
Python
AWS

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