Intern / Working Student (M/F/d) for Ai-based - Munich, Deutschland - ROHDE & SCHWARZ GmbH & Co. KG

ROHDE & SCHWARZ GmbH & Co. KG
ROHDE & SCHWARZ GmbH & Co. KG
Geprüftes Unternehmen
Munich, Deutschland

vor 3 Wochen

Lena Wagner

Geschrieben von:

Lena Wagner

beBee Recruiter


Beschreibung

Your tasks:


  • Discover unusual data points in large data sets
  • Research the latest advances in anomaly detection
  • Design, implement and evaluate AIbased anomaly detection algorithms
  • Get handson experience in integrating new features into our products

Application tips:


  • Application
  • Interview
  • Contact persons

Your qualifications:


  • Academic studies in computer science, electrical engineering or similar fields
  • Demonstrable experience in machine learning and Python development
  • Knowledgeable about important data mining frameworks, e.g. pandas or TensorFlow
  • Preferably first experience with generative models, e.g. generative adversarial networks or diffusion models
  • Team player with good communication and presentation skills
  • Reference number: 515
  • Recruiting


  • Contact: Tanja Feßmann

  • With its leading solutions in the areas of Test & Measurement, Technology Systems and Networks & Cybersecurity, the Rohde & Schwarz technology group is one of the pioneers of a secure and connected world. Founded more than 85 years ago, the Group is a reliable partner for its customers from the private and public sectors around the globe. Headquartered in Munich, Germany, the company has strong regional hubs in Singapore and Columbia, Maryland to coordinate business activities in Asia and the USA.

Our offer:

Opportunities to work from homeFlexible working hour modelsAttractive compensationTraining & continuing educationParking spacesOccupational pension schemePrivately owned companyHealth care30 days of vacationCompany doctorFamily servicesPromoting innovationMarriage and birth benefitLong-term & attractive work environmentSpecial payments

  • Show more
City/region

Munich (Germany)

Entry level

Working students, Interns

Employment Type

Full-time / Part-time possible, limited

Ref. Number

5159

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