AI/ML Engineer Ashburn, VA, US

CACI International Inc.; Ashburn, Northern (VA, KY); Hybrid; USD 86,000 - 182,000; Full time

Job summary

CACI International Inc. in Ashburn, VA seeks a Mid-Level AI/ML Computer Vision Engineer to join the BEAGLE ASF team supporting CBP in Northern Virginia. You will build YOLO-based object-detection models and deploy high-performance inference pipelines.

You will train and evaluate models, curate datasets, annotate data, and collaborate in an Agile/Scrum environment with video engineers and developers in a hybrid work setup.

Qualifications

• 3–5 years of software engineering or data science experience.
• 2+ years building/training computer vision models.
• Experience with Python and ML libraries.

Responsibilities

• Train, fine-tune, and evaluate YOLO-based object detection models.
• Process video data and curate high-quality datasets.
• Develop inference pipelines and export predictions.
• Collaborate in Agile/Scrum environment.

Skills

Python programming

Data analysis

Benchmarking model performance

Agile / Scrum collaboration

Education

B.S. in Computer Science / Data Science / Software Engineering

Tools

PyTorch

TensorFlow

OpenCV

FFmpeg

Git

CVAT/LabelImg familiarity

Job description

## AI/ML EngineerAshburn, VA, USApply NowFind out how well you match with this jobJob ID: 332363Job Title: AI/ML EngineerJob Category: Information TechnologyTime Type: Full timeMinimum Clearance Required to Start: NoneEmployee Type: RegularPercentage 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!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.### 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.*