Internship Machine Learning for Predictive Reliability Analytics - Heat Pumps
Core
Develop and optimize machine learning models for predictive reliability analytics of heat pumps using field and IoT data.
Role type
Machine Learning Intern
Builds
ML models, reproducible workflows, and risk indicator reports for heat pump reliability
Domain
Industrial IoT / HVAC / Predictive Maintenance
Deliverable
production ML models | dashboards & analysis
Required skills
Python, machine learning, model evaluation, feature engineering, data preprocessing, Databricks, MLflow, PySpark
Preferred skills
Generative AI applications
Responsibilities
Review and enhance data preparation and feature engineering approaches; optimize and evaluate existing ML models; investigate new features and early risk indicators in field/IoT data; develop reproducible ML workflows in Databricks; adapt approaches for additional reliability use cases; explore Generative AI for report generation; communicate findings via visualizations and documentation
