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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Computer Vision Engineer - **Company:** MATRIX - **Location:** Newburgh, IN, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Microsoft Windows, Artificial Intelligence, Computer Vision, Microsoft Azure, C Sharp (Programming Language), C++ (Programming Language), Software Documentation, Code Review, Extract Transform Load (ETL), Linux, Python (Programming Language), Machine Learning, Object Detection, Scrum Methodology, Tensorflow, Azure Machine Learning, Software Engineering, SQL Databases, Jupyter Notebook, Pytorch, Transfer Learning, Containerization, Kubernetes, Information Technology, ONNX (Open Neural Network Exchange) Format, Machine Learning Operations, Software Version Control, Docker - **Published:** June 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=7b81f6275f5bb737 ## About the Role Do you have experience in Software documentation?, Do you have a Master's degree?, We are currently seeking a Senior Computer Vision Engineer. The Senior Computer Vision Engineer will work closely with software engineers, as well as project and product managers, to develop robust vision-based artificial intelligence algorithms. In this role, the engineer's enthusiasm and expertise in computer vision engineering will be directed toward designing safe and effective computer vision solutions. This position is based in a collaborative, team-oriented environment at the company's main office in Newburgh, IN, and is not open to remote work arrangements. This position works in a team environment at our office in Newburgh, IN. This is not a remote position., Employment Eligibility & Verification All applicants must be able to provide proof of eligibility to work in the United States. Employment is contingent upon the successful completion of the I-9 form, as required by federal law. Additionally, candidates will be required to undergo an employment verification process before beginning work. Please note that we do not offer sponsorship for work authorization (e.g., H-1B, TN, or other visas) at this time. Education: Bachelor's degree in a related field, such as computer science, software engineering or data science, is recommended. Master's degree in Artificial Intelligence a plus. * 7+ years of experience in the ML space * An expert-level understanding of Python with a focus on ML framework such as TensorFlow or PyTorch * Proficient with state-of-the-art object detection algorithms such as YOLO, DETR, and DINO * Experience with containerization technologies such as Docker, Kubernetes, etc. * Experience developing software using one or more of the following languages (C/C++, C#, Python) * Experience with Linux and/or Windows OS * Experience with model, container, and package registries * Experience with ML tools such as DVC, MLFlow, Lake FS, Label Studio, Azure ML, Azure AI Foundry * Experience with SQL databases, vector embeddings, and vector databases such as Milvus, pgvector, Pinecone, Chroma, etc. * Experience with multimodal models such as CLIP, GPT-4V, Llama * Experience with classical CV algorithms such as Canny Edge Detector, SIFT, RANSAC, Optical Flow, SLAM, etc. * Strong understanding of source control concepts and CI/CD pipelines * Must have strong communication, computer, documentation, presentation, and interpersonal skills ## Description * Prepare customer-facing presentations for custom model deployments * Implement CI/CD pipelines for models, data, and source code * Work with product and project managers to ensure that projects proceed on time and on budget * Work with other engineers to develop a working understanding of how the AI is developing * Document process steps to ensure reasonable human oversight * Work with other engineers to monitor changes in development and implement transfer learning and knowledge distillation between iterative machine learning models * Mentor junior engineers and interns * Participate in code reviews and sprint planning * Understand and apply best practices for object detection modeling * Understand and apply TensorFlow, PyTorch, and ONNX core concepts * Understand and apply hardware accelerator compilation and execution * Understand and apply Jupyter Notebooks/Google Colab concepts * Understand and apply source control best practices for machine learning, ETL, and data annotation pipelines ## Related Videos - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Machine Learning in ML.NET](https://www.wearedevelopers.com/videos/272-machine-learning-in-ml-net) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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