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Amine SlimaneAS

Amine Slimane

Supermalter

Senior AI Engineer

750 €/jour
Paris, FR
3-7 ans

Délai de réponse moyen : 1h

À propos de Amine

AI Engineer with nearly 5 years of experience specializing in Large Language Models, Computer Vision, and data pipeline architecture. Proven track record of leading end-to-end AI solutions from design to production deployment, achieving measurable business impact. Expert in building scalable ML systems on cloud platforms (GCP, Azure, AWS) with strong foundation in both AI engineering and financial analysis.
🏆 4× Google Cloud Certified (Professional ML Engineer | Professional Data Engineer | Gen AI Leader | Cloud Digital Leader)
  • Français

    Bilingue ou natif

  • Anglais

    Bilingue ou natif

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

Expériences

  • L'Oréal SA - L'Oréal France
    AI Engineer
    LUXE
    mars 2026 - Aujourd'hui (3 mois)
    Paris, France
    Data/AI engineering on the group's GenAI Agentic Platform, building and integrating agentic components in a multi-model environment on Google Cloud.
    • GraphRAG & Knowledge Layer: Designed and built a GraphRAG layer on Neo4j to power retrieval and reasoning across the platform's agents.
    • Tools & MCP Integration: Built and integrated custom tools and MCP servers connecting agents to internal business systems, using Google ADK and FastAPI.
    Neo4j Knowledge Management GraphRAG LLM intelligence artificielle
  • Eiffage immobilier
    AI Engineer
    IMMOBILIER
    octobre 2025 - février 2026 (4 mois)
    Paris, France
    Data/AI engineering on the group's GenAI platform on Google Cloud, building and integrating its agentic components.
    • GenAI Platform Engineering: Engineered data/AI components for the group's Agentic AI platform on Google Cloud (Vertex AI), in a multi-model environment running Gemini, Claude and OpenAI models.
    • Tools & MCP Integration: Built and integrated custom tools and MCP servers connecting agents to internal business systems, using ADK and FastAPI.
    • Cloud Deployment: Deployed and integrated services on GCP, navigating on-premise and datacenter constraints to ship on existing infrastructure.
    • Coding Assistant Best Practices: Defined best practices for coding assistant agent configuration, improving developer workflows and output consistency across the team.
    • Knowledge Transfer: Finalized technical deliverables and ran handover sessions to ensure continuity at mission close.
    Agent IA Google Cloud Platform (GCP) Python MCP intelligence artificielle
  • Baloise
    AI Engineer
    BANQUE & ASSURANCES
    mars 2025 - septembre 2025 (6 mois)
    Paris, France
    Technical leadership and architecture for the AI solution processing client files, from design to industrialization, to transform and accelerate risk analysis.
    • Modular Analysis Pipeline Architecture: Designed a multi-stage processing pipeline using a fleet of Qwen-VL family models of varying sizes. Each task is assigned to the lightest and fastest model meeting the requirements, drastically optimizing overall speed and computational costs without any compromise on accuracy.
    • Document Processing Automation: Orchestrated the analysis chain, from automatic document classification and page indexing, to high-fidelity data extraction from scanned documents.
    • Proactive Control and Alert System: Developed cross-validation modules that automatically raise alerts for case managers when inconsistencies are detected between documents (e.g., name discrepancies, address mismatches) or file completeness risks.
    • Decision Support & Traceability: Generated an auditable summary document at the end of the pipeline that revolutionized the initial verification process. This report includes the final risk score, with automatic alerts for high-risk levels and dynamic hyperlinks pointing directly to the source of each piece of information in the original documents, drastically reducing manual verification time.
    • Robust Technical Foundation: Deployed this solution on on-premise infrastructure using Llama.cpp (performance and structured generation), combined with quantization and GPU offloading techniques to ensure smooth execution on existing hardware.
    LLM Agent IA RAG Python intelligence artificielle

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Formations

  • Engineering Degree in Data Science and AI
    Ecole Supérieure Privée d'Ingénierie et de Technologies - ESPRIT
  • Bachelor’s Degree in Finance
    École Supérieure des Sciences Economiques et Commerciales de Tunis

Certifications

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