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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI/ML Engineer - **Company:** VISTO - **Location:** Ann Arbor, MI, United States - **Experience:** Expert - **Salary:** $100,000.0 - $150,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Artificial Neural Networks, Computer Vision, Python (Programming Language), Machine Learning, Object Detection, OpenCV, Tensorflow, Software Engineering, Systems Integration, Pytorch, Transfer Learning, Large Language Models, Deep Learning, Git, Gaussian, Scikit Learn, Kubernetes, 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=0a76a330d999f6f9 ## About the Role * Proficiency in Python for developing, testing, and deploying AI/ML models. * Strong experience with PyTorch or similar deep learning frameworks (e.g., TensorFlow, JAX) for building and training neural networks. * Hands-on experience with computer vision libraries and tools (e.g., OpenCV, scikit-image, PIL) for image processing and analysis. * Knowledge of deep learning architectures for detection and classification tasks, such as CNNs, YOLO, Faster R-CNN, or Vision Transformers. * Knowledge of evaluation metrics for detection and classification tasks (e.g., mAP, precision, recall, F1-score, IoU). * Familiarity with handling imbalanced datasets and techniques like transfer learning or fine-tuning pre-trained models. * Optional: Experience with Synthetic Aperture Radar (SAR) for object detection, including image formation and handling SAR data formats (CPHD, SICD, SIDD). * Optional: Proficiency in Gaussian Splatting for 3D scene reconstruction, with skills in optimizing rendering pipelines and integrating with tools like COLMAP. * Optional: Experience with Reasoning Models or LLMs, including fine-tuning for multimodal tasks. * Optional: Expertise in optimized edge deployment using quantization, pruning, or frameworks (e.g., ONNX, TensorRT) for real-time ATR on resource-constrained devices. Experience * Minimum of 3 years of industry experience in AI/ML software development, preferably in computer vision or related fields. * Proven track record of implementing detection and classification models for imagery (e.g., object detection, image classification, semantic segmentation). * Experience with end-to-end ML pipelines, including data collection, model training, evaluation, and deployment. * Proficiency with version control systems (e.g., Git) and collaborative development workflows. * Familiarity with 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. ## Description As a Senior AI/ML Engineer, you will collaborate with our multidisciplinary team of radar and AI/ML specialists to redefine the boundaries of computer vision technologies. The team is seeking a partner that brings deep technical expertise, forward-thinking innovation, and a strategic approach to AI/ML development, enabling us to solve real-world problems with lasting solutions. ## 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) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [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)