Stellenausschreibung

These are your tasks:

Supporting the development of end-to-end data analytics/data science tools based on product concepts.
Development of data science and machine learning-based proof-of-concepts.
Implementation, Optimization, and Standardization of scalable data science and machine learning solutions in a cloud environment.
Support in building analytical pipelines using cloud services, containerized applications, and distributed systems.
Knowledge sharing of machine learning/deep learning-based methods within our organization.

Who we are looking for:

You are currently studying Master’s degree at a German university with a focus on AI/machine learning/deep learning and statistical methods.
You are equipped with solid knowledge with hands-on experience of analytic programming languages (e.g. Python, R, etc.).
You are able working in a big data environment (e.g. SQL, Spark, Hadoop).
You are experienced in working on ML Pipelines in a cloud-based environment (e.g. Azure, AWS, etc.) with the ability to deploy machine learning models would be a plus.
Good communication skills in English are necessary.

Work location: Nuremberg
Job Level:
- Working Student
Working mode: On-site
Working time: 20h
Employment contract: 28.02.2025
Division: Diehl Metering
Start: 01.09.2024

Note: Applicants (m/f/d) with a severe disability will be given preferential treatment if equally qualified. Should you wish to do so, please indicate your SD status - on a voluntary basis - in your application.

These are your potential benefits

Good traffic connections
Tariff compensation
Flexible working hours
Parking space

Achieve what matters, with Diehl.

Diehl Metering GmbH
Maria Zischler
Tel: +49 981 1806-528

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