> Markdown version of [/jobs/ext/1336288-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/1336288-ai-ml-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Engineer - **Company:** VISTO - **Location:** Ann Arbor, MI, United States - **Experience:** Starter - **Salary:** $65,000.0 - $110,000.0 - **Contract:** Internship / Graduate position - **Skills:** Artificial Intelligence, Artificial Neural Networks, Computer Vision, Computer Engineering, Python (Programming Language), Machine Learning, Object Detection, OpenCV, Tensorflow, Software Engineering, Systems Integration, Pytorch, Transfer Learning, Large Language Models, Deep Learning, Git, Gaussian, Kubernetes, Information Technology, ONNX (Open Neural Network Exchange) Format, Machine Learning Operations, TensorRT, Software Version Control, Docker - **Published:** July 18, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=df403db341133e81 ## About the Role Experience: 1-3 years of Relevant Industry Experience, * Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Computer Engineering, or a related field. * Proficiency in Python for developing, testing, and deploying AI/ML models. * Working knowledge of PyTorch or similar deep learning frameworks (e.g., TensorFlow, JAX) for building and training neural networks. * Basic Experience with computer vision libraries and tools (e.g., OpenCV, scikit-image, PIL) for image processing and analysis. * Understanding of deep learning architectures for detection and classification tasks, such as CNNs, YOLO, Faster R-CNN, or Vision Transformers. * Awareness of evaluation metrics for detection and classification tasks (e.g., mAP, precision, recall, F1-score, IoU). * Introductory grasp of handling imbalanced datasets and techniques like transfer learning or fine-tuning pre-trained models. * Optional: Completed coursework in artificial intelligence (AI) or related topics, including hands-on projects. * Optional: Performed research in or independent study on emerging AI trends and methodologies. * Optional: Exposure to Synthetic Aperture Radar (SAR) for object detection, including image formation and handling SAR data formats (CPHD, SICD, SIDD). * Optional: Interest in Gaussian Splatting for 3D scene reconstruction, with skills in optimizing rendering pipelines and integrating with tools like COLMAP. * Optional: Initial experience with Reasoning Models or LLMs, including fine-tuning for multimodal tasks. * Optional: Curiosity about optimized edge deployment using quantization, pruning, or frameworks (e.g., ONNX, TensorRT) for real-time ATR on resource-constrained devices., * 1-3 years of industry, internship, or academic experience in AI/ML software development, preferably in computer vision or related field. * Project experience implementing detection and classification models for imagery (e.g., object detection, image classification, semantic segmentation). * Familiarity with end-to-end ML pipelines, including data collection, model training, evaluation, and deployment. * Basic use of version control systems (e.g., Git) and collaborative development workflows. * Introductory experience deploying models in production environments using tools like Docker or Kubernetes. Supplementary Criteria * Strong problem-solving skills and ability to translate business requirements into technical solutions. * Effective communication skills to collaborate with cross-functional teams (e.g., radar scientists, managers). * Ability to stay updated with advancements in AI/ML and computer vision research. ## Related Videos - [Developing an AI.SDK](https://www.wearedevelopers.com/videos/198-developing-an-ai-sdk) - [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 Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Unboxing the DeepFace](https://www.wearedevelopers.com/videos/335-unboxing-the-deepface) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [How to start an AI project for a good cause and boost your career](https://www.wearedevelopers.com/magazine/15-how-to-start-an-ai-project-for-a-good-cause-and-boost-your-career) - [Got AI ideas but no money? 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