Darum lohnt es sich
Responsibilities Be part of our Data Science team to further optimize our innovative product based on machine learning and artificial intelligence Work on advanced and demanding AI fields such as large language models Identify, understand, structure and solve complex problems in a driven and pragmatic manner Work on projects that deliver measurable value to our business Experiment with new technologies and acquire new skills to find clever solutions to the unique challenges we will encounter along the way Communicate between all stakeholders (data scientists, lead developers, product management, business owners) and present technical product concepts Requirements Degree in Data Science, Computer Science, Mathematics or similar 6+ years experience as Data Scientist, ideally in a startup or fintech company Extensive and hands-on experience with deployment of (ideally open source) LLMs (hosting, fine-tuning, prompt engineering, evaluation) Experience automating complex processes using LLMs, reducing system latency, increasing efficiency, etc.
Deep knowledge of server management, GPU orchestration, and computational optimization techniques Extensive experience with Python and with data processing packages (e.g.
Pandas, Numpy) and machine learning frameworks (e.g. pytorch, scikit-learn, transformers) Familiarity with web frameworks like Flask or FastAPI Deep knowledge of relational databases such as MySQL or PostgreSQL Experience with agile development practices such as TDD/BDD, continuous integration, refactoring, code reviews, etc.
Experience with cloud-based infrastructure solutions, such as AWS Experience with reinforcement learning is a strong plus Excellent English speaking and writing skills ATS Optimization Keywords Hard Skills Data Science Machine Learning Server Management GPU Orchestration Computational Optimization Relational Databases (MySQL, PostgreSQL) Reinforcement Learning Prompt Engineering Continuous Integration Automating Complex Processes Soft Skills Problem Solving Communication Collaboration #J-18808-Ljbffr
