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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI / Machine Learning Engineer - **Company:** Actalent - **Location:** Tucson, AZ, United States (Remote available) - **Experience:** Experienced - **Salary:** $166,400.0 - $208,000.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Data Analysis, Systems Engineering, Computer Vision, Automation of Tests, Microsoft Azure, Big Data, C++ (Programming Language), Cloud Computing Security, Nvidia CUDA, Computer Engineering, Field-Programmable Gate Array (FPGA), Imaging Technology, Python (Programming Language), MATLAB, Machine Learning, NumPy, Object Detection, OpenCV, Tensorflow, Sensor Fusion, Software Engineering, Software Systems, Reinforcement Learning, Supervised Learning, Feature Engineering, Data Ingestion, Pytorch, Apache Spark, Git, Pandas, Linux Development, Scikit Learn, Kubernetes, Information Technology, ONNX (Open Neural Network Exchange) Format, Machine Learning Operations, Multiaccess Edge Computing, Docker, Unsupervised Learning, Programming Languages - **Published:** September 18, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3390361173&tx=FL434FFF&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Aerospace Engineering, Applied Mathematics, Physics, or related field. * 5+ years of professional software development experience. * 3+ years of hands-on machine learning or artificial intelligence experience. * Strong Python development experience. * Experience with machine learning frameworks such as PyTorch, TensorFlow, and Scikit-Learn. * Experience developing production-grade software solutions. * Strong understanding of Supervised Learning, Unsupervised Learning, and Reinforcement Learning concepts. * Experience with model training and validation. * Experience processing large datasets. * Experience using Linux development environments. * Ability to explain model decisions and performance trade-offs. * U.S. Citizenship required., * Master's or PhD in Machine Learning, Computer Vision, Artificial Intelligence, Computer Science, Physics, Mathematics, or related field. * Experience in Computer Vision, Object Detection, Sensor Fusion, Image Processing, Multi-Target Tracking, and Geospatial Analytics. * Aerospace or defense program experience. * Knowledge of space systems, satellite payloads, or ISR platforms. * Experience with IR imaging systems. * CUDA / GPU optimization experience. * Experience with MLOps pipelines and model deployment. * Experience with AWS GovCloud, Azure Government, or secure cloud environments. * Familiarity with classified environments or security clearance processes. * Experience deploying AI models to embedded hardware, FPGA accelerators, or edge computing devices. Work Environment This position offers a remote work environment. The technical environment includes programming languages such as Python, C++, and MATLAB (preferred). Tools and frameworks used include PyTorch, TensorFlow, OpenCV, Scikit-Learn, NumPy, Pandas, Docker, and Git. Nice-to-have technologies include Kubernetes, CUDA, ONNX, Ray, MLFlow, and Apache Spark. ## Description * Design AI solutions for object detection, classification, tracking, and anomaly detection. * Build and optimize computer vision pipelines for real-time or near-real-time processing. * Develop data ingestion, labeling, and feature engineering workflows. * Support deployment of AI/ML algorithms onto embedded, edge, or space-qualified computing environments. * Collaborate with systems engineers to derive AI requirements and validate algorithm performance. * Work with software engineers to transition prototypes into operational applications. * Evaluate model performance using mission-relevant metrics and datasets. * Create automated testing, validation, and model monitoring capabilities. * Support customer demonstrations, technical reviews, and program milestones. * Contribute to research and development efforts involving advanced sensing technologies and autonomous systems. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [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) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [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) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [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) - [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) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Got AI ideas but no money? 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