> Markdown version of [/jobs/ext/2229382-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/2229382-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). --- # AI/ML Engineer - **Company:** TechniPros, LLC - **Location:** Denver, CO, United States (Remote available) - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Application Integration Architecture, Python (Programming Language), Machine Learning, Recommender Systems, Power BI, Tensorflow, Standard Sql, Azure Machine Learning, Feature Engineering, Pytorch, Large Language Models, Snowflake, Deep Learning, Git, Fastapi, AI Platforms, Scikit Learn, Kubernetes, Restful APIs, Docker, Databricks, Microservices - **Published:** August 25, 2026 - **Apply:** https://www.dice.com/job-detail/602186e0-f0be-4ee3-99e0-b4153197834a ## About the Role · Python · SQL · Machine Learning · Data Science · Predictive Analytics · Deep Learning · Scikit-learn · TensorFlow · PyTorch · FastAPI · REST APIs · Kubernetes · Docker · Azure ML · Power BI · Git Preferred Skills: · Snowflake · Databricks · Feature Engineering · AI Monitoring · Responsible AI · Financial Services Domain Mandatory Skills: · Python · SQL · Machine Learning · Data Science · Predictive Analytics · TensorFlow · PyTorch · Azure ML · Power BI · FastAPI · Kubernetes · Docker ## Description We are looking for an Enterprise AI/ML Engineer to develop intelligent business solutions using Machine Learning, Data Science, LLMs, predictive analytics, and enterprise AI integration. The ideal candidate will have experience building scalable AI platforms and deploying production-ready ML applications., · Develop production Machine Learning models. · Build enterprise AI applications. · Design predictive analytics solutions. · Develop feature engineering pipelines. · Implement AI APIs and microservices. · Build recommendation engines and forecasting models. · Deploy ML workloads using Kubernetes. · Monitor models and AI services. · Build dashboards using Power BI. · Support AI governance initiatives. ## Related Videos - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [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) - [Building and Deploying Multi-Agent Systems with ADK and Vertex AI](https://www.wearedevelopers.com/videos/1918-building-and-deploying-multi-agent-systems-with-adk-and-vertex-ai) - [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) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [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) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)