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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Engineer - **Company:** Apidel Technologies - **Location:** Milwaukee, WI, United States - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Testing (Software), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Code Generation, Code Review, Continuous Integration, Data Centers, Programming Tools, Monitoring of Systems, Python (Programming Language), Machine Learning, Scrum Methodology, Software Architecture, Tensorflow, Software Deployment, Software Engineering, Systems Integration, Software Organization, Google Cloud, Pytorch, Large Language Models, Prompt Engineering, Generative AI, Scikit Learn, Information Technology, Process Control Systems, Machine Learning Operations, Data Pipelines - **Published:** August 31, 2026 - **Apply:** https://www.dice.com/job-detail/371d8285-43d0-4772-9d09-b15c5c5cbec1 ## About the Role * Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field. * 7+ years of software engineering experience with a strong foundation in modern development practices. * 5+ years of hands-on experience developing and deploying machine learning solutions. * Experience with Python and common AI/ML frameworks such as PyTorch, TensorFlow, or Scikit-learn. * Experience building and integrating Generative AI and Large Language Model (LLM) solutions. * Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform. * Strong understanding of software architecture, APIs, data pipelines, and production deployment practices. * Excellent communication and collaboration skills., Experience with Retrieval-Augmented Generation (RAG), vector databases, and prompt engineering. Experience deploying AI solutions in edge or IoT environments. Knowledge of MLOps practices, model monitoring, and AI governance. Familiarity with Building Automation Systems (BAS), industrial controls, IoT, or smart building technologies. Experience supporting Agile/Scrum development teams., If you're passionate about applying AI to solve complex operational challenges and want to help build the next generation of intelligent building technology, we'd love to hear from you. ## Description Description: Controls Software Team | Global Controls Engineering, Building Technologies & Solutions About the Role: Join a team transforming the future of intelligent buildings. We are bringing Artificial Intelligence into some of the world's most complex and demanding environments, including data centers, hospitals, pharmaceutical facilities, commercial campuses, and other mission-critical spaces. Our goal is to evolve smart building products into AI-native platforms that can reason about building operations, assist operators with intelligent decision-making, and accelerate how engineering teams develop and deliver software. As a Senior AI/ML Engineer, you will play a central role in this transformation. You will be responsible for both building innovative AI-powered product capabilities and elevating AI engineering practices across the Controls Software organization. This role offers the opportunity to influence product strategy, architecture, and engineering excellence while working alongside software engineers, data scientists, and product leaders. What You'll Do_ Your work will focus on two equally important areas: Pillar 1: Build AI-Powered Products As a technical contributor, you will design, develop, and deploy AI/ML solutions that create measurable value for customers and operators. Responsibilities include: Design, build, and deploy AI/ML models and GenAI capabilities across cloud, edge, and on-premises environments. Develop LLM-powered features, including operator copilots, intelligent alarm analysis, automated recommendations, and natural language interfaces. Integrate AI capabilities into existing smart building products and platforms. Develop scalable inference and deployment architectures for production AI workloads. Partner with software engineering and product teams to translate business needs into AI-enabled solutions. Monitor, evaluate, and continuously improve model performance, reliability, and accuracy. Pillar 2: Accelerate Team Capability & Velocity As an AI advocate and technical leader, you will help the broader engineering organization adopt modern AI practices and tooling. Responsibilities include: Identify and implement AI-assisted developer tools that improve software delivery velocity. Leverage AI to enhance code generation, software testing, code reviews, and CI/CD workflows. Establish AI engineering best practices, standards, and governance across teams. Mentor engineers on AI technologies, frameworks, and implementation strategies. Evaluate emerging AI tools and technologies and recommend opportunities for adoption. Drive the responsible and practical use of AI throughout the software development lifecycle. ## Related Videos - [Navigating the AI Revolution in Software Development](https://www.wearedevelopers.com/videos/1266-navigating-the-ai-revolution-in-software-development) - [Are Code Reviews Worth It? Insights from 16 Years of Review Data](https://www.wearedevelopers.com/videos/1135-are-code-reviews-worth-it-insights-from-16-years-of-review-data) - [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) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Build a CI/CD pipeline to automate code reviews and ensure code quality](https://www.wearedevelopers.com/videos/349-build-a-ci-cd-pipeline-to-automate-code-reviews-and-ensure-code-quality) ## 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) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)