Be part of one of our Data Science teams to further optimize our innovative product based on machine learning and artificial intelligence -
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Wir schreiben dir, sobald eine neue geprüfte Stelle in Berlin dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
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Entwickelt theoretische Rahmenwerke und Architekturen für sichere KI-Systeme und beweist probabilistische Sicherheitsgarantien unter Daten- und Rechenbeschränkungen.
Overview We are looking for experienced Machine Learning and AI Experts to help train and evaluate advanced AI models.
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on this role - Strong professional experience in Python software development - Proven experience building AI-driven or agentic systems, pref
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Entwirft und betreibt GPU-Cluster und Deployment-Pipelines, bringt KI-Modelle in Produktion und überwacht Modell- sowie Infrastrukturleistung.
Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
Be part of one of our Data Science teams to further optimize our innovative product based on machine learning and artificial intelligence - Lead and mentor a team of three Data Scientists, providing technical guidance and support - Work on advanced and demanding AI fields such as our reinforcement learning-driven decisioning product that is used for our outbound communication - Improve our portfolio valuation models and work closely with our Finance department as stakeholders to ensure high quality output - Identify, understand, structure, and solve complex problems in collaboration with stakeholders (e.g. Behavioural Science, Tech, Finance, Collection, Market departments) - 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 face - Report directly to our Director of AI & Data Science
Degree in Data Science, Computer Science, Mathematics or similar - 6+ years experience as Data Scientist, ideally in a startup and/or fintech company - First leadership experience in a dynamic environment - 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 Reinforcement Learning would be a strong plus - Impressive track-record of projects using Machine Learning to solve business problems - Experience with agile development practices such as TDD/BDD, continuous integration, refactoring, code reviews, etc. - Experience with cloud-based infrastructure solutions such as AWS - Excellent English speaking and writing skills - Willingness to dive into our data and get your hands dirty Transparency, Execution, Ownership, Customer Centricity, Innovation and Integrity are important to us and we at PAIR Finance embody these values. We are a technology-driven company that embraces AI and intelligent tools to work smarter.
We value teammates who share that curiosity, bring a creative mindset, and are excited to explore new ways of doing things. Do you find yourself in these values? Then become part of our team and complement us with your individual motivation and character!
Our offer for you: - For this lead role, our salary band is € 97,500 - € 130,000 gross per year (based on a 40-hour work week). The exact offer will reflect your experience and qualifications - 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 Who is your contact person?
Your contact person for this position is Geneva Brooks. If you have any questions, please contact us directly by email (). For more information about PAIR Finance, please take a look at our website and our careers page.
We look forward to hearing from you!
Are you ready to change the market? As the innovation leader in the receivables management industry, we at PAIR Finance are proud of our unique technology. Our algorithm, based on artificial intelligence, sensitizes defaulting consumers to pay outstanding debts without straining the customer relationship.
Our fully automated, individually tailored approach enables us to assess each debtor s situation and achieve higher repayment rates. Our Data and Behavioral Science teams utilize purpose-built Python tools to analyze and enrich our data. Our company has experienced significant growth and we are continuously improving our technologies, processes, and policies to form a reliable foundation for further growth.
To further develop our innovative product, we are looking for a Team Lead (f/m/d) Data Science to join our team. In this role you will focus on the further development of our Machine Learning products and lead a team of three Data Scientists. Become part of our strong international team that is transforming the traditional debt collection industry with innovation and a drive for excellence.
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Zur Originalanzeige204 geprüfte Stellen bei 134 Arbeitgebern, 24 davon ortsunabhängig. 82 in der KI-Entwicklung, 62 in Integration & Automatisierung.