About
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 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 Assist the AI/ML team in developing the AI digital twin Provide knowledge and understanding of ML behaviors relative to AI digital twins 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 Lead a team of junior developers in additional projects. Requirements:
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 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.
Languages
- English
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