Job Description
Deine Aufgaben
- You do research on different methodologies, models and approaches to solve challenging problems
- You develop machine learning systems
- You collaborate with engineers to preprocess, analyze, and prepare data for modeling
- You train and evaluate machine learning models using various algorithms and techniques
- You deploy machine learning models in production environments
Dein Profil
- You bring in 3+ years of experience in developing and deploying machine learning models in a production environment
- You have a good understanding of ML fundamentals such as models and approaches
- You are proficient in Tensorflow or Pytorch or similar
- You have experience and curiosity in the state-of-the-art methods in Natural language processing and information retrieval
- You are into the current advances in large language models
- You know how to make Python code production ready
- You know what Docker, Docker Compose or K8s is
- Attention (might be all you need)
- You are fluent in English and Bulgarian
Warum wir?
- Flexible working hours: Manage your workday autonomously.
- neoshare-Health: We offer our employees additional health insurance with dental coverage and a Multisport card.
- Remote Work: While our beautiful Sofia office is always open, we make it possible to work remotely.
- Equipment: Our colleague can choose their hardware (MacBook or Lenovo).
- Vacation: We offer 26 days paid leave.
- Bonus: We offer a 13th salary in December.
Please send us your CV in English.
Über uns
Die neoshare AG, gegründet 2019 in München, hat sich schnell zu einem internationalen Fintech-Unternehmen entwickelt und betreibt heute Standorte in München, Düsseldorf, Frankfurt und Sofia, Bulgarien. Als „AI-First Company“ bietet sie mit ihrer SaaS-Plattform “neoshare” eine innovative End-to-End-Lösung für die effiziente Digitalisierung und Verwaltung großvolumiger Projekt- und Immobilienfinanzierungen. In enger Zusammenarbeit mit Banken und Immobilienunternehmen wird das Produkt kontinuierlich weiterentwickelt, um den Finanzsektor nachhaltig zu transformieren.