Job
- Level
- Senior
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- 76.000 bis 103.500€ Brutto/Jahr
Job Zusammenfassung
In dieser Rolle optimierst du innovative Produkte durch Machine Learning und künstliche Intelligenz, arbeitest an komplexen Projekten, experimentierst mit Technologien und kommunizierst zwischen unterschiedlichen Stakeholdern.
Job Technologien
Deine Rolle im Team
- 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.
Unsere Erwartungen an dich
Ausbildung
- Degree in Data Science, Computer Science, Mathematics or similar.
Qualifikationen
- Deep knowledge of server management, GPU orchestration, and computational optimization techniques.
- Familiarity with web frameworks like Flask or FastAPI.
- Deep knowledge of relational databases such as MySQL or PostgreSQL.
- Excellent English speaking and writing skills.
Erfahrung
- 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.
- Extensive experience with Python and with data processing packages (e.g. Pandas, Numpy) and machine learning frameworks (e.g. pytorch, scikit-learn, transformers).
- 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.
Unser Angebot
- For this senior role, our salary band is €76,000 - €103,500 gross per year (based on a 40-hour work week). The exact offer will reflect your experience and qualifications.
- We offer visa sponsorship.
- Thriving, financially stable company.
- Strong experienced international team to support and mentor you along the way, smooth onboarding process.
- International team of 30+ nationalities with professionals and experts.
- Flat hierarchy, transparent and appreciative feedback culture, monthly all hands meetings, annual feedback and evaluation cycle, regular 1-on-1s with your lead.
- Well-structured onboarding process as well as supportive and welcoming colleagues.
- Personal learning & development budget as well as German and English language courses.
- Unlimited employment contract, flexible working hours and 28 vacation days for your work-life balance.
- Company pension plan, partly covered Deutschlandticket (public transport) and access to 'Corporate Benefits' voucher platform to ensure your full well-being.
- Fun company summer and Christmas parties as well as regular team events.
- This role is based in Berlin, and we have a hybrid working policy. Modern office near Uhlandstraße is complete with fresh fruit, muesli and drinks for a comfortable and enjoyable workplace.
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
PAIR Finance
PAIR Finance ist ein renommiertes Unternehmen mit Sitz in Berlin, das eine digitale Plattform für das Forderungsmanagement anbietet. Mit Hilfe von Datenanalyse, künstlicher Intelligenz und Verhaltenswissenschaften verbessert es den Prozess des Forderungseinzugs und ist in mehreren europäischen Märkten tätig.
Description
- Unternehmenstyp
- Etablierte Firma
- Branche
- Banken, Finanz, Versicherung