Job
- Level
- Junior
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Job Feld
- Data
- Anstellung
- Teilzeit / Vollzeit
- Vertragsart
- Praktikum / Schulpraktikum
Job Zusammenfassung
In dieser Position entwickelst du agentische KI-Systeme zur automatischen Erkennung und Katalogisierung von Produktangeboten und wendest Python sowie Frameworks wie PyTorch in einer Cloud-Umgebung an.
Job Technologien
Deine Rolle im 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.
Unsere Erwartungen an dich
Ausbildung
- 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.
Qualifikationen
- 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.
Erfahrung
- 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.
Unser Angebot
- 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 big company events and other moments of organized connection with others in the company and your team throughout the year!
Benefits
Work-Life-Integration
Gesundheit, Fitness & Fun
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
idealo internet GmbH
idealo ist ein in Berlin gegründetes Internetunternehmen, das seit dem Jahr 2000 besteht. Seit der Gründung hat sich unser Ziel nicht geändert: Wir wollen unseren Nutzern dabei helfen, die besten Online-Kaufentscheidungen zu treffen.
Description
- Unternehmensgröße
- 250+ Employees
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Internet, IT, Telekom
Arbeitgeber-Reviews
von devworkplaces.com
Gesamt
(1 Bewertung)3.0
Engineering
3.2Career Growth
2.6Culture
2.7Workingconditions
3.6
Bachelor's / Master's Thesis - Applied AI: Machine Learning & AI Agents
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
