Working Student (m/f/d) Machine Learning Engineering

Generali Deutschland · Saarbrücken

WerkstudentGerman needed: fluent

Still open on 2 Nov

You apply on the company's own website.

Key facts

Support in designing, implementing and further developing generative AI applications for assistant/chatbot scenarios (e.g. help work out requirements, develop prototypes and step by step drive improvements based on results and feedback)
Work on the LLM/RAG environment: preparing and structuring knowledge sources and supporting workflows around chunking, metadata enrichment and maintenance of retrieval/index structures (e.g. embeddings)
Help with data, inference and prompting pipelines: planning and running tests/validations in close coordination, analyzing typical error patterns (e.g. unsuitable content or missing sources) and deriving practical optimization steps

First practical experience or solid theoretical foundations in machine learning / natural language processing, plus interest in generative AI (e.g. LLMs) and typical RAG basics (e.g. retrieval, embeddings)
Good basic Python skills and an understanding of data/text processing workflows (e.g. cleaning, structuring, chunking as a concept, handling text formats)
Basic SQL knowledge (e.g. to query/understand data); alternatively/additionally experience with simple data pipelines or databases
Interest in data pipelines & quality: willingness to prepare content/knowledge sources in a structured way and help with tests/reviews (e.g. source coverage, data quality, traceability of results)
Ideally first exposure to cloud environments or tools (e.g. AWS or Azure) or the motivation to get up to speed quickly
Very good German skills, spoken and written, for coordination, documentation and quality assurance
Application with a current proof of enrollment

Modern working models to combine work and private life
A wide range of training and development offers, also mobile as an app
Talent programs for career development with tailored options for every target group
Prevention, sports, insurance and therapy offers for your health
Opportunities to network with colleagues beyond your direct work area
Fair, performance-based pay, success-based bonus, company pension plan and various perks
Employee terms for insurance and financial products, corporate benefits, discounts and subsidies

Support in designing, implementing and further developing generative AI applications for assistant/chatbot scenarios (e.g. help work out requirements, develop prototypes and step by step drive improvements based on results and feedback)
Work on the LLM/RAG environment: preparing and structuring knowledge sources and supporting workflows around chunking, metadata enrichment and maintenance of retrieval/index structures (e.g. embeddings)
Help with data, inference and prompting pipelines: planning and running tests/validations in close coordination, analyzing typical error patterns (e.g. unsuitable content or missing sources) and deriving practical optimization steps

First practical experience or solid theoretical foundations in machine learning / natural language processing, plus interest in generative AI (e.g. LLMs) and typical RAG basics (e.g. retrieval, embeddings)
Good basic Python skills and an understanding of data/text processing workflows (e.g. cleaning, structuring, chunking as a concept, handling text formats)
Basic SQL knowledge (e.g. to query/understand data); alternatively/additionally experience with simple data pipelines or databases
Interest in data pipelines & quality: willingness to prepare content/knowledge sources in a structured way and help with tests/reviews (e.g. source coverage, data quality, traceability of results)
Ideally first exposure to cloud environments or tools (e.g. AWS or Azure) or the motivation to get up to speed quickly
Very good German skills, spoken and written, for coordination, documentation and quality assurance
Application with a current proof of enrollment

Modern working models to combine work and private life
A wide range of training and development offers, also mobile as an app
Talent programs for career development with tailored options for every target group
Prevention, sports, insurance and therapy offers for your health
Opportunities to network with colleagues beyond your direct work area
Fair, performance-based pay, success-based bonus, company pension plan and various perks
Employee terms for insurance and financial products, corporate benefits, discounts and subsidies