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Arij S.AS

Arij S.

Senior Machine Learning Engineer

700 €/jour
Paris 7e Arrondissement, FR
8-15 ans

Délai de réponse moyen : 1h

À propos de Arij

Machine Learning Engineer with 8 years of experience in software engineering and machine learning (LLM fine-tuning, model training, data curation, running privacy audits on production models..).
Thorough and efficient.
  • Anglais

    Bilingue ou natif

  • Français

    Bilingue ou natif

  • Arabe

    Bilingue ou natif

  • Coréen

    Notions

En télétravail uniquement
Travaille majoritairement à distance

Expériences

  • Criteo
    Machine Learning Engineer
    E-COMMERCE
    juin 2024 - Aujourd'hui (2 ans)
    Paris, France
    • Fine-tuned an open-source LLM to perform structured attribute extraction, intent classification, and taxonomy enrichment at inference time, replacing paid APIs and delivering significant cost savings while maintaining data quality for downstream embedding training.
    • Designed and deployed a large-scale offline data curation pipeline for foundation-model training: enriched product data via the fine tuned LLM before embedding creation, improving semantic consistency and retrieval performance.
    • Fine-tuned large-scale multimodal embedding models serving mainly two downstream consumers: (1) an agentic ads-in-chat product (ChatGPT-style) requiring high-precision semantic retrieval, and (2) a recommendation system using FAISS, k-NN, and Elasticsearch for large-scale product ranking.
    • Served as technical interface with external partners (e.g., Anyscale), contributing to architectural decisions, production-readiness reviews, and distributed training best practices.
    • Ran privacy audits on Criteo models to ensure no data was leaked during training,
    LLM Deep Learning Finetuning Machine learning
  • Criteo
    Software Development Engineer
    janvier 2023 - juin 2024 (1 an et 5 mois)
    Paris, France
    • Developed data ingestion workflows processing millions of first-party identifiers to power Criteo's large-scale user graph.
    • Built the internal Opt-Out API, enabling compliant identifier removal across distributed ID-mapping systems, ensuring GDPR alignment.
    • Maintained and optimized the ID Collection library, improving hashing, normalization, and consistency of identifiers (email, CRM IDs) across privacy-critical pipelines.
    • Worked closely with Privacy and Platform teams to adapt data flows to evolving regulatory and experimentation constraints.
  • Ivalua
    Software Development Engineer
    septembre 2020 - janvier 2023 (2 ans et 4 mois)
    Paris, France
    • Refactored a decade-old core service in the Procure-to-Pay product, boosting performance by 20%.
    • Delivered new backend features in agile sprints with cross-functional teams.
    • Identified and patched multiple XSS vulnerabilities, improving product security posture.

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Formations

  • Masters degree in Data science
    Université Paris Dauphine
    2020

Compétences

Catégories