AI/ML Engineer

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

Job summary

CACI International Inc. seeks a Mid-Level AI/ML Computer Vision Engineer to join the BEAGLE ASF team in Northern Virginia. You will train and evaluate YOLO models, prepare training datasets from video, and annotate data while collaborating with video engineers in an Agile setting.

The role requires 3–5 years in software or data science with 2+ years in CV model work, Python, PyTorch/TensorFlow, and a hybrid Ashburn-based schedule.

Qualifications

• 3–5 years of software engineering or data science experience.
• 2+ years hands-on experience building/training computer vision models.
• U.S. citizen with ability to pass CBP background investigation.
• BS in CS/Data Science/Software Engineering or related field.
• Hybrid schedule availability in Ashburn, VA.

Responsibilities

• Train, fine-tune, and evaluate YOLO object-detection models on proprietary data.
• Process and format raw video into high-quality training datasets.
• Annotate and curate datasets; generate synthetic data when needed.
• Develop inference pipelines and export structured predictions (JSON/Protobuf).
• Generate performance reports and curves to identify model blind spots.
• Collaborate in an Agile/Scrum team to deliver production-ready code.

Skills

Python

NumPy

Pandas

Scikit-Learn

PyTorch or TensorFlow

YOLO (v8/v9)

OpenCV

FFmpeg

CVAT

LabelImg

Git

Benchmarking (mAP, FPS, latency)

Education

B.S. in CS/Data Science/Software Eng or related field

Tools

Docker

ONNX

TensorRT

Jira

Confluence

Git

Job description

Job Title: AI/ML Engineer
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 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!

What You’ll Get To Do:

• 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.

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: College degree (B.S.) in Computer Science, Data Science, Software Engineering, or a related discipline.
• Professional Experience: 3–5 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.

Required:

• 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).

Desired:

• 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, 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.

The Proposed Salary Range For This Position Is:

$86,600 - $181,800

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.