[Hiring] Machine Learning and AI Engineer @Thermal Works

Role Description

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.

Key Responsibilities

• 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 Thermal Works
  • Be able to lead a team of junior developers in additional projects

Qualifications

• 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

Requirements

• 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

Benefits

• 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