> Markdown version of [/jobs/ext/2771439-net-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/2771439-net-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). --- # NET AI/ML Engineer - **Company:** Propertyvalue Quantum Technologies Llc - **Location:** Bellevue, WA, United States - **Experience:** Expert - **Salary:** $153,920.0 - **Contract:** Temporary contract - **Skills:** .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Continuous Integration, DevOps, Python (Programming Language), Machine Learning, Azure Machine Learning, Software Deployment, Web Services, .NET Core, Data Ingestion, Machine Learning Operations, Virtual Agents, Data Pipelines - **Published:** September 7, 2026 - **Apply:** https://www.dice.com/job-detail/da03ed0c-1ac7-48f0-94cc-a24087f1a8ae ## About the Role * Microsoft Azure * Core .NET Technologies * Azure ML * OpenAI * Python * DevOps * MLOps / CI-CD * Artificial Intelligence (AI) / Machine Learning * Experience integrating ML models with APIs / services * Knowledge of Microsoft SFI and secure ML infrastructure * Experience with secure connections and identity-based access Good to Have * AI Engineering * Experience building custom Copilots * Experience developing Intelligent Agents ## Description * Seeking a Senior .NET AI/ML Engineer with strong experience in Core .NET Technologies, Microsoft Azure, Azure ML, OpenAI, Python, and DevOps. * Design, develop, deploy, and maintain end-to-end AI/ML solutions, covering data ingestion, model development, training, and production deployment. * Develop data pipelines and ML models using Python and integrate AI/ML models into existing .NET APIs and services. * Build and maintain secure, scalable Azure AI/ML infrastructure aligned with enterprise security standards and Microsoft SFI practices. * Develop and manage MLOps / CI-CD pipelines for automated model training, validation, testing, and deployment using secure connections and identity-based access. * Collaborate with application and engineering teams to integrate AI/ML capabilities with .NET applications and services. * Support the development of custom Copilots and intelligent agents using AI engineering practices. ## Related Videos - [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) - [Functions Triggers using Azure Event Grids in Azure Blob Storage](https://www.wearedevelopers.com/videos/47-functions-triggers-using-azure-event-grids-in-azure-blob-storage) - [Developer Time Is Valuable - Use the Right Tools - Kilian Valkhof](https://www.wearedevelopers.com/videos/1792-developer-time-is-valuable-use-the-right-tools-kilian-valkhof) - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Machine Learning in ML.NET](https://www.wearedevelopers.com/videos/272-machine-learning-in-ml-net) - [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) ## 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) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)