Data Scientist / Data Engineer (m/f/d) for LLM/RAG pipelines

Testsieger.de

Germany · Full-time · Entry

Are you an ambitious and talented Data Scientist looking to make a significant impact in a thriving tech startup? Do you have a passion for working with the latest technologies in Data Science and Machine Learning? If so, we have the perfect opportunity for you!

We are one of the largest consumer platforms in Germany, aggregating test reviews and customer ratings to help users find the best products available. Our integrated price comparison guides users to the most affordable shops for their desired product.

Tasks

Take charge of your own challenging area of responsibility and make a significant impact
Utilize the latest technologies in Data Science, such as Deep Learning with PyTorch, Machine Learning with scikit-learn, and data analysis with Pandas
Engage in diverse tasks within a motivated and dynamic team
Be part of a fast-growing and successful tech startup, enjoying the benefits of flat hierarchies

Requirements

A degree in computer science, data science, or a related field
Solid expertise in Machine Learning and/or Data Science
Proficiency in Python, familiarity with Data Science tools (e.g. Jupyter, Pandas), MySQL and LLM/RAG pipelines
Enthusiasm for generating innovative ideas and taking responsibility when handling large datasets
You have good spoken and written knowledge of English and German

Benefits

Well-funded and proven startup with large ambitions and competitive salary
Entrepreneurial culture where pushing limits and taking risks is everyday business
Open communication with management and company leadership
Home office options in Germany and Portugal
An entrepreneurial culture where pushing limits and taking risks is everyday business

If you're excited to contribute your skills and creativity to our dynamic team and revolutionize the consumer platform landscape, apply now and join us on this exciting journey! Looking forward to meet you!

Key Skills

Ranked by relevance

machine learning deep learning data analysis pytorch python pandas mysql

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