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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Engineer III - **Company:** H2B Consulting, Inc. - **Location:** Englewood, CO, United States - **Experience:** Expert - **Salary:** $135,200.0 - $145,600.0 - **Contract:** Temporary contract - **Skills:** Java (Programming Language), Agile Methodology, Artificial Intelligence, Data Analysis, Artificial Neural Networks, Big Data, C Sharp (Programming Language), C++ (Programming Language), Cyber Security, Nvidia CUDA, DevOps, Human-Computer Interaction, Python (Programming Language), Machine Learning, Rapid Prototyping Process, Tensorflow, Sensor Fusion, Software Engineering, Software Requirements Analysis, Systems Architecture, Management of Software Versions, Reinforcement Learning, High Performance Computing, Feature Engineering, Data Ingestion, Pytorch, Deep Learning, Model Validation, Generative AI, Gpu Programming, Information Technology, Hardware Acceleration, Machine Learning Operations, TensorRT, Data Pipelines - **Published:** July 11, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=c21f60fbc1a62c7f ## About the Role * Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Engineering, Mathematics, Statistics, or a related STEM field (or equivalent experience) * 6+ years of AI/ML, software engineering, or related experience (9+ years without a degree) * Strong proficiency with Python, C++, C#, or Java for AI/ML application development. * Experience with TensorFlow, PyTorch, and modern machine learning frameworks * Expertise in supervised, unsupervised, reinforcement learning, and generative AI models, including transformers * Experience developing, deploying, optimizing, and scaling production AI/ML models, including CNNs, RNNs, and neural networks * Knowledge of AI/ML architecture, data pipelines, feature engineering, model training, deployment, and optimization * Experience leading technical projects, mentoring engineers, and working independently with minimal oversight * Strong communication skills with the ability to translate complex technical concepts for diverse stakeholders * Understanding of AI/ML validation, testing, cybersecurity, and regulatory requirements within aerospace or defense environments Preferred Experience * Master's degree in Artificial Intelligence, Machine Learning, Computer Science, or a related field * Experience leading AI/ML initiatives within aerospace, defense, or advanced technology organizations * Background building or scaling AI/ML capabilities for emerging engineering teams * Experience with embedded AI, autonomous systems, multimodal sensor fusion, or real-time machine learning applications * Knowledge of MLOps, model validation frameworks, data versioning, and DevOps or Agile development practices * Experience with GPU programming, CUDA, TensorRT, high-performance computing, or hardware acceleration technologies * Hands-on experience with reinforcement learning, generative AI, GANs, transformers, or advanced statistical modeling * Familiarity with edge AI, explainable AI (XAI), and human-machine interface (HMI) development. * Experience analyzing large-scale datasets and translating mission objectives into technical system requirements * Demonstrated ability to deliver rapid AI/ML prototypes within fast-paced research and development environments, * Because this client is a Federal Government Contractor performing services for the DoD, US Air Force, NASA and others, they do require US, Non-Dual Citizenship ## Description As an AI/ML Engineer III, you will serve as the technical lead for advanced artificial intelligence and machine learning initiatives within a fast-paced research and development environment. In this role, you will architect, develop, and deploy innovative AI/ML solutions that support autonomy, perception systems, analytics, and next-generation technologies for aerospace and defense applications. Working alongside cross-functional engineering teams, you will lead rapid prototype development, establish technical direction, mentor fellow engineers, and translate mission objectives into scalable AI/ML systems that deliver real-world impact under accelerated development timelines., * Lead the design, development, and deployment of advanced AI/ML models, including deep learning, reinforcement learning, and generative AI solutions * Architect scalable AI/ML systems and rapid proof-of-concept prototypes from data ingestion through model deployment and evaluation * Define technical requirements, system architecture, and development roadmaps aligned with mission objectives * Collaborate with software, systems, hardware, and product engineering teams to integrate AI/ML capabilities into autonomous platforms * Shape AI/ML system behavior, evaluate technical tradeoffs, and solve complex engineering challenges in evolving environments * Develop validation, testing, and performance frameworks to ensure reliability, safety, and compliance * Identify technical risks, recommend mitigation strategies, and support project planning, staffing, and resource requirements * Mentor engineers, promote AI/ML best practices, and help expand organizational machine learning capabilities * Present technical demonstrations, trade studies, and project updates to leadership and key stakeholders * Research and implement emerging AI/ML technologies to drive innovation across aerospace and defense programs Supervisory Responsibilities * No immediate direct reports ## 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) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [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) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) ## 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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