Job
- Level
- Junior
- Job Field
- Data
- Employment Type
- Part Time
- Contract Type
- Internship / school internship
- Location
- Leipzig
- Working Model
- Onsite
Job Summary
In this role, you will develop Machine Learning models for network traffic classification, analyze problems, create solutions, and write automation scripts using Python.
Job Technologies
Your role in the team
- You work with us on our machine learning models with the goal of classifying network traffic.
- You analyze problems and develop well-founded solutions.
- You develop automation scripts in Python.
- You support the Data Science teams in their daily operations.
- You are involved in the continuous improvement of our product software.
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Our expectations of you
Qualifications
- You are capable of handling and creating machine learning models.
- You have experience working with Linux and the common ML libraries.
- You have a good grasp of concepts and a willingness to learn.
- Your profile is complemented by very good German and English skills (at least C1).
- You can be present in our Leipzig office at least 2 days a week.
Experience
- You are enrolled at a German university and have programming experience in Python.
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What we offer
- Part-time, fixed-term.
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Benefits
Health, Fitness & Fun
Work-Life-Integration
Higher Take-Home Pay
Topics You Will Work On
Job Locations
About Your Employer
ROHDE & SCHWARZ GmbH & Co. KG
Rohde & Schwarz entwickelt, produziert und vermarktet innovative Produkte der Messtechnik, Broadcast- und Medientechnik, Cybersicherheit, Sichere Kommunikation sowie Monitoring und Network Testing. Vor 85 Jahren gegründet, unterhält das Unternehmen ein Vertriebs- und Servicenetz in mehr als 70 Ländern.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Industry, Production
Employer reviews
by devworkplaces.com
Total
(1 Review)3.2
Workingconditions
3.8Culture
3.5Engineering
2.6Career Growth
3.2
Working Student Data Science
- Location
- Leipzig
- Working Model
- Onsite
- Diversity
- Open for all genders
