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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Engineer III - **Company:** Links Technology Solutions - **Location:** Englewood, CO, United States - **Experience:** Expert - **Salary:** $141,440.0 - **Contract:** Temporary contract - **Skills:** Java (Programming Language), Artificial Intelligence, Artificial Neural Networks, Computer Vision, C Sharp (Programming Language), C++ (Programming Language), Nvidia CUDA, Python (Programming Language), Machine Learning, Tensorflow, Sensor Fusion, Signal Processing, Management of Software Versions, Reinforcement Learning, Feature Engineering, Data Ingestion, Pytorch, Information Technology, Hardware Acceleration, Machine Learning Operations, TensorRT - **Published:** July 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=42e1d33fabb5205e ## About the Role Qualifications - AI/ML Engineer III * Bachelor's degree in Computer Science, Mathematics, Applied Statistics, or a related STEM discipline with 6+ years of related experience (or 9+ years of related experience in lieu of a degree). A higher-level relevant degree may substitute for experience. * Proficient in machine learning frameworks (e.g., TensorFlow, PyTorch) and implementing advanced techniques such as supervised, unsupervised, and reinforcement learning (e.g., PPO, Actor/Critic). * Proficient in developing, deploying, and optimizing AI/ML models (including ANNs, CNNs, RNNs, and transformers) for production applications. * Strong proficiency in programming languages such as Python, C++, C#, or Java. * Proven track record of delivering rapid prototypes or research models under tight schedule pressure and evolving requirements. * Experience leading teams or projects, including a strong ability to coach, mentor, and "upskill" engineers with developing AI/ML backgrounds. * Knowledge of regulatory and cybersecurity requirements for AI/ML systems in aerospace and defense applications. * Preferred: Master's degree in Artificial Intelligence or Machine Learning. * Preferred: Experience establishing ML engineering practices (MLOps, data versioning, validation frameworks) and working with hardware acceleration (e.g., CUDA, TensorRT). * Preferred: Familiarity with early-stage autonomy R&D, multimodal sensor fusion research, or integrating ML models into embedded/real-time platforms. ## Description This role serves as the technical lead for AI/ML development on a fast-paced team prototyping new technologies for an innovative Joint Task Force. As the primary driver for rapid proof-of-concept builds, you will spearhead projects focused on autonomy, perception systems, and analytics. This highly autonomous position bridges the gap between high-level vision and day-to-day technical execution while mentoring growing engineers. Description - AI/ML Engineer III * Serve as the primary day-to-day AI/ML expert, performer, and technical lead for a rapid R&D prototyping team. * Rapidly define architecture, technical direction, and technical requirements for new AI/ML initiatives and prototypes without regular direct technical oversight. * Architect and build end-to-end AI/ML prototypes quickly, managing data ingestion, feature engineering, training pipelines, model deployment, and evaluation. * Lead the design and development of advanced machine learning models, including deep neural networks, reinforcement learning systems, and generative AI algorithms. * Translate high-level conceptual guidance from leadership into actionable requirements, designs, roadmaps, and technical approaches. * Collaborate with software, systems, hardware, and data science teams to integrate AI/ML prototype components into larger autonomous platforms. * Help Program Managers identify staffing, tooling, and data requirements while identifying and managing technical risks during execution. * Develop and oversee robust validation and testing frameworks to ensure models meet performance, safety, and compliance standards. * Lead the development and integration of signal processing, computer vision, and planning algorithms to advance autonomous system functionality. * Design and execute large-scale simulations and modeling of AI/ML systems on CPU/GPU platforms. * Prepare and execute demonstration plans, technical briefings, and trade studies for leadership and program stakeholders. ## Related Videos - [Tour de Force: Open-Source LLM Inference Optimization from Simple to Sophisticated](https://www.wearedevelopers.com/videos/100099-tour-de-force-open-source-llm-inference-optimization-from-simple-to-sophisticated) - [How AI Models Get Smarter](https://www.wearedevelopers.com/videos/1374-how-ai-models-get-smarter) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Developing an AI.SDK](https://www.wearedevelopers.com/videos/198-developing-an-ai-sdk) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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 And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? 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