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Bachelor's / Master's Thesis - Applied AI: Machine Learning & AI Agents

Job

  • Level
    Junior
  • Location
    Berlin
  • Working Model
    Hybrid, Onsite
  • Job Field
    Data
  • Employment Type
    Part Time/Full Time
  • Contract Type
    Internship / school internship

Job Summary

In this role, you will develop agentic AI systems for automatic product recognition and cataloging, utilizing Python and frameworks like PyTorch in a cloud-based environment.

Job Technologies

Your role in the team

  • AI Agents: You research and develop agentic AI systems for automatically recognizing, processing, and cataloging product offers.
  • Foundation Models: You explore how Foundation Models and Large Language Models can be applied to product classification in e-commerce.
  • Machine Learning Development: You develop ML solutions in Python using frameworks and technologies such as PyTorch, AWS Strands, and AWS Bedrock in a cloud-based environment.
  • Scientific Research: You investigate current scientific approaches, develop your own ideas, and evaluate them using real-world datasets and use cases.
  • Practical Application: You explore how your approaches can improve automated offer cataloging while considering the requirements of scalable, production-ready ML systems.

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Our expectations of you

Education

  • You are enrolled at a German university, will remain enrolled for at least another 12 months, and can arrange academic supervision for your thesis at your university.

Qualifications

  • You are studying Computer Science, Computer Engineering, Data Science, Mathematics, Information Technology, or a related STEM field, ideally with a focus on Machine Learning or Artificial Intelligence.
  • You take ownership and independently drive topics forward.
  • You enjoy tackling challenges actively and solving them pragmatically.

Experience

  • You have a solid theoretical understanding of Machine Learning and Deep Learning, along with good Python programming skills and experience with libraries such as scikit-learn, pandas, NumPy, or PyTorch.

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What we offer

  • We take your personal development goals seriously and, in addition to our idealo Learning Hub, eLearning offerings (e.g., Udemy), coaching & mediation, we also offer you the opportunity to benefit individually from additional learning and development budget.
  • Our office in the heart of Berlin offers free organic breakfast, excellent free lunch (vegan and vegetarian), as well as free coffee, lemonades and after-work beer, in addition to the "standard foosball".
  • It also has a fabulous rooftop terrace with view of the whole of Berlin where you can network with colleagues from our group of companies.
  • We offer free counseling and support in all areas of life (professional, private, family, health, etc.) in cooperation with the pme-Familienservice.
  • No problem with a job bike or Deutschlandticket - and it's environmentally friendly, too!
  • We offer many different fitness and sports options, such as an Urban Sports or Gympass membership, to suit your personal needs.
  • In addition to team events, you can also expect large company events and other moments of organized connection with colleagues and your team throughout the year!

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Benefits

Work-Life-Integration

Health, Fitness & Fun

Topics You Will Work On

Job Locations

  • Location Berlin

    Germany

About Your Employer

idealo internet GmbH

idealo internet GmbH

Idealo is a Berlin-based internet company that has been around since 2000. Our goal has always been to help our users make the best online purchase decisions.

Description

  • Company Size
    250+ Employees
  • Company Type
    Established Company
  • Working Model
    Hybrid, Onsite
  • Industry
    Internet, IT, Telecommunication

Employer reviews

by devworkplaces.com

Total

(1 Review)
3.0
  • Engineering

    3.2
  • Career Growth

    2.6
  • Culture

    2.7
  • Workingconditions

    3.6
Show all reviews
Logo idealo internet GmbH

Bachelor's / Master's Thesis - Applied AI: Machine Learning & AI Agents

Location
Berlin
Working Model
Hybrid, Onsite
Diversity
Open for all genders

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