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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # CV AI/ML Engineer - **Company:** CACI International Inc. - **Location:** King of Prussia, PA, United States - **Experience:** Experienced - **Salary:** $98,500.0 - $206,800.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Computer Vision, Cloud Computing, Configuration Management, Data Files, Data Fusion, Linux, Python (Programming Language), Machine Learning, OpenCV, Tensorflow, Software Deployment, Software Engineering, Virtualization Technology, Scripting, Transport Layer Security, Pytorch, Software Security, Deep Learning, AWS Lambda, Keras, Containerization, Scikit Learn, Information Technology, Functional Programming, Software Version Control, Unsupervised Learning - **Published:** August 9, 2026 - **Apply:** https://www.careerbuilder.com/job-details/staff-computer-vision-ai-ml-engineer-king-of-prussia-pa--d50d3cb6-91d7-441a-80f5-38f3d2b0c4de ## About the Role Required: * Experience leading an interdisciplinary team of researchers and software developers and working with a program manager to define project scope and schedule to ensure we meet project milestones as defined by our customers * Experience selecting a technical AI/ML approach and then iterating/pivoting as needed to enhance performance * Experience with Python and any of the following Python machine learning frameworks: PyTorch, TensorFlow, Keras, PyTorch Lightning, scikit-learn / scikit-image, and/or OpenCV * Experience training wither convolutional-based CV models (e.g. YOLOv3-11, YOLOX) or transformer-based CV models (Vision Transformer, Swin, etc.) * Effective communicator with the ability to write and present technical reports both internally to the engineering team and externally to customers * 7+ years of experience, preferably in software development or as a data scientist with 3+ years of developing/training AI/ML models * Active TS/SCI U.S. Government Security Clearance Desired: * MS or PhD in machine learning, computer science, computer vision, mathematics, or relevant fields * Experience with Self-Supervised Learning (SSL) and student-teacher approaches (e.g., DINO, knowledge distillation, BYOL) * Experience with applying AI/ML algorithms to Image Segmentation, Super Resolution, Image Denoising, Image Restoration, and Multi-INT Fusion * Experience with Graph Convolutional Networks (GCNs) and applying them to CV-based problems * Experience working with image processing chains for any of the following domains: SAR, EO, and OPIR * Experience working with datasets of overhead imagery like xView, SpaceNet datasets, Functional Map of the World, xView3, MSTAR, HRSID, CAESAR, DOTA v1/v2, etc. * Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, etc. * Experience with version control processes and tools for code version control, data version control, and model version control * Experience with Linux * Experience with implementing tracking and fusion, and pattern-of-life algorithms * Experience in application deployment, virtualization, and containerization * Experience shaping and writing proposals * A TS/SCI clearance with SSBI and CI Poly to support the government * What You Can Expect: A culture of integrity., AWS Lambda, Algorithms, Amazon Elastic Compute Cloud (EC2), Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Applications Security, Artificial Intelligence (AI), Business Strategy, Cloud Computing, Communication Skills, Computer Science, Computer Vision, Data Collection, Data Fusion, Data Science, Data Sets, Deep Learning, Federal Contracts, Federal Government, Government, Government Contracts, Image Processing, Leadership, Linux Operating System, Machine Learning, Mathematics, Mentoring, Presentation/Verbal Skills, Problem Solving Skills, Proposal Writing, Prototyping, Publications, Python Programming/Scripting Language, Research & Development (R&D), SSL-TLS (Secure Socket Layer - Transport Layer Security), Safety/Work Safety, Schedule Development, Security Clearance, Sensitive Compartmented Information (SCI), Single Scope Background Investigation (SSBI), Software Development, Source Code/Configuration Management (SCM), Team Lead/Manager, Technical Leadership, Technical Presentation, Technical Strategy, Technical Support, Technical Writing, Top Secret Clearance, Training/Teaching, Virtualization, Willing to Travel, Writing Skills, XView GUI Toolkit ## Description This position, in either Aurora, CO or King of Prussia, PA, is for a Staff Computer Vision AI/ML Engineer. As a CV AI/ML Engineer, you will apply cutting-edge AI/ML-based Computer Vision algorithms to problems in remote sensing, including Automatic Target Recognition (ATR) and Multimodal Data Fusion for Electro-Optical (EO) and Synthetic Aperture RADAR (SAR). You will be responsible for maturing, optimizing, and deploying these algorithms to a cloud-hosted environment. You will also serve as a technical leader and will have the opportunity to guide a team of researchers and developers to see these algorithms from prototype to operations., Our ideal candidate is an experienced professional who has researched and developed AI/ML-based computer vision algorithms and deployed these algorithms to operational environments. This candidate will have the opportunity to apply their knowledge in AI/ML to solve a broad set of problems across multiple domains. This candidate will be joining a team of talented researchers and software developers with the opportunity to lead and mentor junior engineers. Additionally, they will work our technical and business strategy leadership team to help shape our growing AI/ML portfolio., * Leading a small team consisting of developers and researchers to implement AI/ML algorithms to solve computer vision problems in remote sensing * Analyzing and pre-processing large remote sensing datasets * Researching supervised and unsupervised ATR solutions for remote sensing * Researching the performance benefits of multimodal data fusion for ATR, under diverse data collection scenarios * Training, optimizing, and deploying deep learning CV models that provide analysts with actionable insights * Reviewing relevant publications to understand cutting edge concepts, break down key ideas to government customers, and apply to defense and commercial applications * Writing technical documentation supporting code, program capabilities and user-guides ## Related Videos - [Machine Learning for Software Developers (and Knitters)](https://www.wearedevelopers.com/videos/154-machine-learning-for-software-developers-and-knitters) - [Deepfakes in Realtime - How Neural Networks Are Changing Our World](https://www.wearedevelopers.com/videos/180-deepfakes-in-realtime-how-neural-networks-are-changing-our-world) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Hiring AI Native Talents](https://www.wearedevelopers.com/videos/100268-hiring-ai-native-talents) - [Unboxing the DeepFace](https://www.wearedevelopers.com/videos/335-unboxing-the-deepface) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Got AI ideas but no money? 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