Enter a job title or keyword

AIML Engineer (Computer Vision)

CACI


Job Location:

Ashburn, IL - USA

Yearly Salary: USD 105100 - 231100
Posted: 6 November 2026 (16 hours ago)
Application Deadline: 3 February 2027
Vacancies: 1 Vacancy

Job Summary

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 CBPs 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: Bachelors Masters 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 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.

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:

$105100-$231100

CACI is anEqualOpportunity 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 otherprotectedcharacteristic.


Required Experience:

IC


About Company

Company Logo

CACI employs a diverse range of talent to create an environment that fuels innovation and fosters continuous improvement and success. At CACI, you will have the opportunity to make an immediate impact by providing information solutions and services in support of national security miss ... View more

View Profile View Profile