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T

Machine Learning Engineer, AI

Thermal Scientific Works

. Develop machine learning models related to equipment telemetry .

Posted 5/7/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
CloudPython

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • 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.

ATS Keywords

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Hard Skills & Tools
machine learningdeep learningPythondata pipelinessensor data analysispredictive maintenanceML Opsmodel deploymentengineering calculation softwareAI digital twin
Soft Skills
collaborationleadershipproblem-solvingcommunicationusability focusadaptabilityteamworkproject managementstakeholder engagementrefinement