Internship Machine Learning for Predictive Reliability Analytics - Heat Pumps

Robert Bosch Group; Deutschland; Hybrid; EUR 13.000 - 20.000; Vollzeit

Benefits dieser Stelle

Hybrid work setup

Zusammenfassung

Bosch Home Comfort Group in Germany invites applications for an Internship in Machine Learning for Predictive Reliability Analytics for Heat Pumps. The project centers on Databricks-based ML work, model enhancement and exploring reliability use cases with IoT data.

You will build reproducible ML workflows in Databricks using MLflow, investigate new features, and present findings with visualizations and concise reports. Hybrid setup in Wernau; Master in data science required.

Qualifikationen

• Master studies in Data Science, AI, CS, or related field.
• Practical knowledge of machine learning, feature engineering and data preprocessing.
• Strong Python skills; experience with Databricks, MLflow and PySpark is a plus.
• Able to communicate technical results clearly and work in a hybrid setup in Germany.

Aufgaben

• Contribute to review and enhancement of data preparation and feature engineering.
• Support optimization and evaluation of existing ML models.
• Investigate new features and risk indicators within field and IoT data.
• Develop reproducible ML workflows in Databricks using MLflow.
• Assess approaches for additional product issues and reliability use cases.
• Explore Generative AI to convert model outputs into concise reports for engineers.
• Communicate findings through visualizations and short presentations.

Kenntnisse

Python

Databricks

MLflow

Feature engineering

Data preprocessing

PySpark

Generative AI

English fluency

Ausbildung

Master's degree in Data Science / AI / CS

Tools

Databricks

MLflow

PySpark

Jobbeschreibung

Internship Machine Learning for Predictive Reliability Analytics - Heat Pumps

• Full-time
• Legal Entity: Bosch Thermotechnik GmbH

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other.Join in and feel the difference.
The Bosch Home Comfort Group is looking forward to your application!

We are looking for a motivated intern to help us continue developing our machine-learning solutions for heat pump reliability. You will build on what we've already started, work on improving our current models, and explore how we can apply these ideas to additional reliability use cases. Most of your work will be done in Databricks.

• During your internship, you will contribute to the review and enhancement of existing data preparation and feature engineering approaches.
• You will support the optimization and evaluation of existing machine learning models.
• In addition, you will investigate potential new features and early risk indicators within field and IoT data.
• You will also develop reproducible ML workflows in Databricks using MLflow.
• Furthermore, you will adapt and assess existing approaches for additional product issues and reliability-related use cases.
• Moreover, you will explore the application of Generative AI to transform model outputs and key risk drivers into concise and understandable reports for engineers.
• Finally, you will communicate findings through data visualizations, short presentations, and technical documentation.

• Education: Master studies in the field of Data Science, Artificial Intelligence, Computer Science, Information Systems, Engineering or a comparable quantitative or technical field
• Experience and Knowledge: practical knowledge of machine learning, model evaluation, feature engineering, and data preprocessing; good Python skills; experience with Databricks, MLflow, PySpark or Generative AI applications is a plus
• Personality and Working Practice: you excel at driving tasks forward independently, organizing your workflows systematically, while communicating technical results with high clarity
• Work Routine: we offer you the opportunity to work in a hybrid setup with regular presence in Wernau
• Enthusiasm: interested in applying machine learning to real-world products and IoT data
• Languages: very good in English

Start:November/December 2026
Duration: 6 months

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.

Need further information about the job?
LinnanDu (Functional Department)
[phone]