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Bachir Z.BZ

Bachir Z.

Staff Machine Learning Engineer

800 €/jour
Paris, FR
8-15 ans

Délai de réponse moyen : 1h

À propos de Bachir

I have 10 years of overall experience in the field. I started my career with 3 years in e-commerce, followed by 3 years in the music streaming industry, before joining Qonto, where I’ve been for the past 4.5 years.

For 3 years, I led an AI Product team composed of Data Engineers and Machine Learning Engineers, building client-facing AI products and working on fraud detection.

For the past couple of years, I’ve been working as a Staff Machine Learning Engineer, leading cross-functional initiatives at the company level and supporting the team’s growth through mentoring and technical guidance.
  • Arabe

    Bilingue ou natif

  • Anglais

    Capacité professionnelle complète

  • Français

    Bilingue ou natif

Accepte de travailler sur site
Paris (jusqu’à 50 km)

Expériences

  • Qonto
    Staff AI engineer
    BANQUE & ASSURANCES
    août 2024 - Aujourd'hui (1 an et 10 mois)
    Paris, France
    Leading the development of AI models that enhance the user experience within Qonto's product. Acting as technical lead for the AI Product team, while mentoring team members to support their growth and development.
    AI Agents Model Deployment Machine Learning & Deep Learning Python AWS
  • Qonto
    Engineering Manager - AI products
    BANQUE & ASSURANCES
    août 2021 - août 2024 (3 ans)
    Paris, France
    Managing a team of AI Engineers and Data Engineers to build AI-driven services for fraud prevention and AI customer-facing features. Collaborating with business and product teams to define the roadmap and implement processes that enhance team efficiency. Working closely with the VP of Data to shape the team's mid-and-long-term vision.
  • Deezer
    Senior Data Scientist
    avril 2018 - juillet 2021 (3 ans et 3 mois)
    Paris, France
    Working closely with business teams to provide dashboards and analysis. Building a fraud detection tool using machine learning. Working on inactivity and churn prediction using deep learning. Making a streaming sessions clustering in order to analyze the customer journey.

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Formations

  • MSc in
    Paris Dauphine University
    MSc in
  • MSc in Applied Mathematics
    Paris Dauphine University.
    MSc in Applied Mathematics

Compétences

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