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Arnaud T.AT

Arnaud T.

Senior AI Engineer

950 €/jour
Paris, FR
8-15 ans

Délai de réponse moyen : 1h

À propos de Arnaud

Welcome


I take AI initiatives from idea to production owning both strategy and execution.

I work in two modes depending on what the project needs:
•Scoped delivery : a defined AI problem, owned end-to-end
•Embedded AI lead : driving roadmap and execution together, without the overhead of a separate PM and engineering layer

Eight years working across IT, Finance and Marketing, with consistent exposure to C-level stakeholders from early on. I’m used to bridging business intent with technical reality and then building it myself.

Currently shipping agentic systems at Lansweeper and as founding engineer of emmascan.io (solo-built AI market intelligence platform with MCP server, agentic web app,sub-second latency on 1500+ tickers).
  • Français

    Bilingue ou natif

  • Anglais

    Bilingue ou natif

  • Espagnol

    Capacité professionnelle complète

En télétravail uniquement
Travaille majoritairement à distance

Expériences

  • Lansweeper
    Ai Product engineer
    EDITION DE LOGICIELS
    mars 2025 - Aujourd'hui (1 an et 3 mois)
    AI engineer then AI product engineer on all AI/agentic initiatives including Agentic systems, llm orchestration, RAG, MCP, product life cycle and experience.
  • emmascan.io
    Founder emmascan.io
    BANQUE & ASSURANCES
    janvier 2025 - Aujourd'hui (1 an et 5 mois)
    Founding engineer of an AI-powered market intelligence platform, solo-built end-to-end.
    Agentic architecture: web app + MCP server (LLM-agent accessible) + embedded chat.
    55+ backtested signals across 19 markets. 1500+ tickers ranked in <1s.

    Stack: Python · FastAPI · MCP · Claude · GCP · Polars · React

    TLDR: I wanted one place to scan 15 global markets for tradable setups, by click or by prompt. So I built it.
  • Pernod Ricard EMEA LATAM
    Senior Data Science consultant
    VINS & SPIRITUEUX
    septembre 2022 - février 2025 (2 ans et 5 mois)
    Paris, France
    • Mix Marketing Modeling Optimizer for brand promotions on countries with 8- figures brand promotions budgets (MATRIX program)

    Technical Stack : Azure Cloud / Python / Databricks / Snowflake / Pycharm / Spark /DBT
    Microsoft Azure Machine learning Snowflake Azure Databricks FMCG

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Formations

  • Advanced Master, Quantitative Finance - Strategy & Finance
    CentraleSupélec
    2018
    Advanced Master, Quantitative Finance - Strategy & Finance
  • Master's degree, Quantitative Marketing - Revenue Management
    Ecole nationale de la Statistique et de l'Analyse de l'Information
    2017
    Master's degree, Quantitative Marketing - Revenue Management

Compétences

Catégories