Internship Machine Learning for Predictive Reliability Analytics - Heat Pumps
Core
Intern developing machine-learning solutions for heat pump reliability, focusing on model optimization, feature engineering, and risk indicator exploration.
Role type
Machine Learning Intern
Builds
ML models and workflows for predictive reliability analytics in heat pumps
Domain
Industrial IoT / HVAC / Predictive Maintenance
Deliverable
production ML models
Required skills
Python, machine learning, model evaluation, feature engineering, data preprocessing
Preferred skills
Databricks, MLflow, PySpark, Generative AI
Technologies
Databricks, MLflow, PySpark
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 and IoT data; develop reproducible ML workflows; adapt approaches for additional reliability use cases; explore Generative AI for report generation; communicate findings via visualizations and documentation
