Working Student Position - Munich, Deutschland - Technische Universität München

Technische Universität München

Geprüftes Unternehmen

Munich, Deutschland

vor 2 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

Kubernetes Cluster and Deployment Administration for Applied Machine Intelligence Lecture - Provided by the Chair of Data Processing
Applied Machine Intelligence

Lifecycle of a Machine Learning task
Data Preprocessing
Regression (Algorithms and Metrics)
Classification (Algorithms and Metrics)
Deep Learning
Active Learning
Model Selection
Validation Techniques
Model Interpretation

Task Description - In this working student position you work on the following topics:

Setup and maintain a Kubernetes Cluster on an LRZ Server machine
Provide access for participants of the Applied Machine Intelligence lecture
Support students to deploy their projects on the cluster
Integrate Data Science Storage by LRZ
Provide access to virtual Nvidia GPUs for each project group on the server machine

Requirements:

Intermediate knowledge of Kubernetes and Docker
Intermediate knowledge of version control systems (Git)
Interest in system administration and IT technology
High motivation and independent way of working, proactive and selforganized commitment
Team player skills

Our offerings

Integration in a team of data researchers at the Chair of Data Processing
Work can be done completely from a remote position if required
The payment is in the usual range for student assistants
Start from approx. beginning of April until approx. middle of July
The duration of work is approximately 6 hours per week, but this can be flexibly adjusted.
Access to student rooms and equipment
Unlimited supply of coffee (personal use only)

Mehr Information:

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