Data Scientist (AI/Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Scientist (AI/Fintech): Developing and optimizing an innovative product based on machine learning and AI with an accent on large language models (LLMs) and data architecture. Focus on deploying open-source LLMs, optimizing GPU orchestration, and automating complex business processes to deliver measurable business value.
Location: Hybrid in Berlin, Germany
Company
is a fintech company transforming the traditional debt collection industry through innovation and AI-driven excellence.
What you will do
- Optimize the AI/ML-based product, specifically working with large language models (LLMs).
- Identify, structure, and solve complex technical problems in a pragmatic manner.
- Implement projects that provide measurable value to the business.
- Experiment with new technologies and optimize GPU orchestration and computational efficiency.
- Communicate technical concepts between data scientists, developers, product management, and business owners.
Requirements
- Degree in Data Science, Computer Science, Mathematics or a similar field.
- 6+ years of experience as a Data Scientist, ideally within a startup or fintech environment.
- Extensive hands-on experience with hosting, fine-tuning, prompt engineering, and evaluation of open-source LLMs.
- Proficiency in Python and data packages (Pandas, Numpy) and ML frameworks (PyTorch, Scikit-learn, Transformers).
- Deep knowledge of relational databases (MySQL, PostgreSQL) and cloud infrastructure (AWS).
- Excellent English speaking and writing skills.
Nice to have
- Experience with reinforcement learning.
- Familiarity with web frameworks such as Flask or FastAPI.
Culture & Benefits
- Visa sponsorship available.
- Unlimited employment contract with flexible working hours and 28 vacation days.
- Personal learning and development budget, including German and English language courses.
- Company pension plan and partially covered Deutschlandticket for public transport.
- Flat hierarchy with a transparent feedback culture and regular 1-on-1s.
- International environment with a team representing over 30 nationalities.
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