Machine Learning and AI Engineer at Thermal Works

United States

Opportunity Thermal Works LLC has an exciting opportunity for an ML/AI Engineer to join our team, working directly with the AI and Data Analytics group. This role focuses on expanding the internal AI and ML tools within Thermal works. You will be in a fast-paced development environment, building applications around AI and ML models themselves. The ML/Engineer needs to be agile, professional, trustworthy with confidential information, and comfortable in a rapidly changing environment. You will work closely with engineering, service, product, and web teams to incorporate AI/ML solutions which are practical, accurate, and production ready ML/AI Applications. Thermal Works values efficiency and strives to maintain smooth operations. Our primary focus is on providing an integrated cooling system for data centers and commercial buildings that dramatically reduces the energy demand, water consumption and cost of cooling. It transforms the economics and eco-metrics of commercial cooling with zero water solutions that outperform air- and water-cooled systems in any climate. Thermal Works solutions are sustainable and cutting-edge. For that reason, we are highly selective about the people we bring on board because our work depends on it. Change and progress happen quickly, and we must be able to trust one another to be honest, communicative, reliable, and self-motivated. We seek ultra-creatives and superstar performers with a sense of humility and a hunger to make a positive impact in the world. We offer flexibility and endless growth opportunities to those who can harness their skills and talents and identify how and where to use them to add value. Thermal Works is one of several “inspired infrastructure” companies that work collaboratively under our parent company, Endeavour Energy, LLC. At the heart of this ecosystem is a diverse group of bright, passionate, dedicated people, working together to make a real difference for people and the planet. Thermal Works is looking for someone to join our team to help us move the needle towards sustainable change. Are you ready to join the journey? Key Responsibilities Include but are not limited to: Equipment Data Analysis & Predictive Maintenance Develop machine learning models related to equipment telemetry Deploy ML/DL Models into cloud-based access for internal use Design data pipelines to ingest, clean, and analyze sensor, operational, and service data Continuously refine models based on real-world equipment performance Supportive AI project development Design and build supportive AI tools for the service, operations, and engineering team Translate engineering formulas, design rules, and constraints into reliable, user-friendly digital tools Collaborate with engineers to ensure accuracy, usability, and maintainability Leverage Agentic AI to operationalize the AI project development to usable and actionable documentation for related teams Digital Twin Development Assist the AI/ML team in developing the AI digital twin, building components and design where applicable Provide knowledge and understanding of ML behaviors relative to AI digital twins Assist and provide codebase walkthroughs on digital twin code to ensure the system is well-engineered Work with subject matter experts to design simulations for the digital twin simulation environment Additional projects Support additional data and digital tool initiatives as required by the business Evaluate new opportunities where advanced analytics can improve products, services, or operations Contribute to long-term data strategy at ThermalWorks Be able to lead a team of junior developers in additional projects Education and Experience Degree in Computer Science, Engineering, Data Science, or a related technical field Strong experience in Python and applied machine learning Ability to translate engineering or operational problems into practical software tools Strong collaboration skills across engineering, service, and business teams Comfort working on multiple projects with varying stakeholders Specific Skills / Abilities Experience with predictive maintenance or industrial/physical systems Familiarity with time-series data and sensor data analysis Experience with web-based tools, APIs, or engineering calculation software Knowledge of ML Ops, model deployment, and monitoring Experience in manufacturing, industrial equipment, or engineering-driven organizations Great Place to Work Enjoy… A fast-paced, entrepreneurial culture focused on innovation. A flexible, autonomous work environment. A culture of respect, learning, and excellence. Experienced, highly talented experts as team peers. Growth and travel opportunities. A team of change-makers having a significant impact on people and the planet. About Endeavour Endeavour is taking on global challenges, and to create the appropriate global solutions is not easy. Our teams work extremely hard because we believe in Endeavour’s mission: to guarantee clean water and renewable energy to everyone, everywhere by decentralizing infrastructure, developing new technologies, & deploying energy, water, and waste treatment solutions that are more profitable than those that currently exist. We are a group of passionate change-makers who want to leave the world better than the way we found it. Endeavour prides itself on hiring talented, highly motivated people because that’s what our mission requires. There is a strong sense of camaraderie between good-natured people who bring their A-game to work every day to make a difference. To work at Endeavour is to know that you are part of something special—something bigger than yourself. Position: ML/AI Engineer Full-Time or Part-Time: Full-Time Reports to: Applied Systems Engineer Location: Remote - US