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Adil El HakouniAE

Adil El Hakouni

AI/MLOPs Engineer

€800/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Adil

I industrialize ML/Data systems in production. Specializing in MLOps & AI Platform, I help data teams scale from POC to production: real-time monitoring, drift detection, ML CI/CD pipelines, cloud architecture (GCP · Azure · Databricks).
5 years of consulting experience at Wavestone, several ML platforms delivered to production.
  • Arabic

    Native or bilingual

  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Paris (up to 10km)

Experience

  • Wavestone
    Senior ML/AI Engineer & Consultant
    CONSULTING AND AUDITS
    February 2022 - Today (4 years and 6 months)
    Paris, France
    ▸ MLOps Platform: Design and deployment of a GCP architecture for ML monitoring (drift, perf, uncertainty) — centralized control tower for all models in production.
    ▸ ML Engineering: Deployment of an IT-Support email classification solution; design of cloud architecture patterns for ML model ecosystems.
    ▸ Data Engineering: Migration of legacy workloads to Azure, modern ETL pipelines, lifecycle with MLflow and Azure ML.
    ▸ GenAI Application (Travel Retail): — via
    ▸ Senior technical consulting: Leading architecture workshops, discovery sessions with architects, technical and business teams (luxury, energy, high-tech).
    MLOps Microsoft Azure Data Engineer Tech Lead System Architecture
  • CentraleSupélec
    Lecturer — Data Science
    EDUCATION AND E-LEARNING
    November 2024 - Today (1 year and 9 months)
    91400 Saclay, France
    ▸ Teaching ML and data science for the Supply Chain major (engineers in training).
    ▸ Design of end-to-end practical labs: ML pipeline, deployment, monitoring.
    Application of the Data Science approach to real-world use cases in the supply chain (store clustering, demand forecasting).
    Data Science Science Communication Teaching Supply Chain
  • Imerys
    Data Scientist / Operations Research
    RAW MATERIALS INDUSTRY
    April 2021 - October 2021 (6 months)
    Paris, France
    ▸ Data Engineering: Access to large-scale industrial data via PI OSISOFT API, building ETL pipelines to calculate business metrics, design and populate dashboards.
    ▸ Optimization: Advanced scheduling system (linear programming, OR tools) minimizing production costs under constraints.
    Data Engineer Data Science Operations Research Process Optimization

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Education

  • GCP Certified Professional Architect
    Google Cloud
    2024
    GCP Certified Professional Architect
  • MongoDB Certified
    MongoDB Certified

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