AI/ML Engineer
CACI Open · verified Oct 22, 2026 At a glance
Mid-level Machine Learning Engineering role at CACI. Ashburn · full-time · $86,600–$181,800 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Train and tune YOLO models on proprietary data, testing settings to balance detection speed with accuracy
- Turn production video into training data by cleaning files, labeling frames, checking annotations and creating synthetic examples
- Build Python workflows that run video frames through inference and export detected objects as JSON or Protobuf
- Assess detection quality with performance reports, confusion matrices and precision-recall curves, then address model blind spots
- Deliver production code in short Agile sprints alongside the AI/ML lead, video engineers and developers
What you bring
- A bachelor’s degree in computer science, data science, software engineering or a related discipline
- At least five years in software engineering or data science, including two years building or training computer vision models
- You can work in Python with core ML libraries and have trained neural networks using PyTorch or TensorFlow
- You have implemented YOLO for object detection, segmentation or classification and worked with video-processing tools
- U.S. citizenship and the ability to pass the CBP background investigation are required
Who this fits
This mid-level role suits a hands-on computer vision engineer who can manage model training, video data preparation and inference work within a small pod. You’ll work on site two to three days a week in Northern Virginia and may travel locally up to ten percent.
From the employer
The Opportunity:
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.
Responsibilities:
· 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.
Qualifications:
Required:
· College degree (B.S.) in Computer Science, Data Science, Software Engineering, or a related discipline.
· 5 or more years of software engineering or data science experience, with 2+ years of hands-on experience building/training Computer Vision models.
· 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).
· Willing to work on site 2-3 days a week
· Pass CBP background investigation (U.S. Citizenship required). 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
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 - $181,800CACI 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.