What are the responsibilities and job description for the Senior AI/ML Engineer – Controls Software position at Cube Hub Inc.?
Senior AI/ML Engineer – Controls Software
Location: Milwaukee, WI (Hybrid)
Employment Type: Full-Time
Business Unit: Smart Buildings / Building Automation Systems (BAS)
Team: Controls Software Engineering
Reports To: Senior Director, Controls Software, Global Controls Engineering
About the Role
We are seeking a Senior AI/ML Engineer to help transform intelligent building technologies through artificial intelligence and machine learning.
This role will focus on applying AI to complex environments, including data centers, hospitals, pharmaceutical facilities, commercial campuses, and other mission-critical spaces. The goal is to evolve smart building products into AI-enabled platforms that can assist operators with intelligent decision-making and accelerate software engineering and product development.
As a Senior AI/ML Engineer, you will be responsible for building innovative AI-powered product capabilities while also helping establish and advance AI engineering practices across the Controls Software organization. You will work closely with software engineers, data scientists, and product leaders to influence product strategy, architecture, and engineering practices.
Key ResponsibilitiesPillar 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.
- Design, build, and deploy AI/ML models and Generative AI 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 requirements 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.
- 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 engineering 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.
Required Qualifications
- 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.
- Strong experience with Python and 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.
Preferred Qualifications
- 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.
Why Join the Team?
- Help shape the future of AI-enabled smart building technologies.
- Work on real-world challenges in mission-critical environments.
- Influence both product innovation and engineering transformation.
- Collaborate with software engineers, data scientists, and product leaders.
- Drive meaningful business impact through AI and machine learning solutions.
Ideal Candidate
The ideal candidate is an experienced AI/ML engineer who combines strong software engineering fundamentals with hands-on experience developing production AI and Generative AI solutions. This individual should be comfortable working across product development, cloud/edge environments, AI architecture, and engineering enablement while mentoring others and helping organizations adopt practical AI capabilities.