You play an essential role in overcoming one of the biggest challenges we face: democratizing access to financial information and AI infrastructure. The integration of alternative data, such as ESG and climate data or sentiment data, as well as the use of AI-based analytics, is particularly important here.
Your Benefits
- Flexible working hours
- Team events
- Work in the heart of Frankfurt or Munich with the option to work remotely
- Monthly budget for your personal development
- Regular feedback, continuous learning curve
Your Job
- As a machine learning intern, you work on our AI-based ESG parser
- You support us with data collection, data labeling and the development of the data pipeline
- You are responsible for monitoring and analyzing the quality of the models used
- You learn how to improve and further develop large machine learning models
Who we're looking for
- You are passionate about developing with Python and already have initial experience with AWS/GCP
- New technologies pique your interest
- You attach great importance to solid software architecture and know various architecture patterns and software principles
- As a team player, you enjoy working in a team and looking for help rather than doing everything alone
- You have the ability to work in a detail-oriented manner in a fast-paced environment
- You have very good written and spoken German (C2 level) and English (C1 level)
- You are studying computer science, business informatics, mathematics, data science, or have an equivalent degree
- Minimum duration of internship: 3 months (After your 3-month internship, you have the opportunity to join as a working student)
Bonus Skills
- Experience with machine learning pipelines and BERT architecture
Technologies used
- Python3
- Google Cloud
- Transformer > 4.36
Interested? Send your application to career@bavest.co
About Bavest
Bavest is a fast-growing fintech from Germany with locations in Frankfurt and Munich. Our mission is to fundamentally transform the financial world by increasing transparency and efficiency by providing an innovative infrastructure for essential information. We provide access to alternative data & analytics that were not possible before. Apply to us now and become part of the team!
