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Cyrille ElieCE

Cyrille Elie

AI Engineer · Machine Learning · MLOps

On-demand
Niort, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Cyrille

Wondering if AI can concretely improve your business? That's exactly the question I answer.

For 20 years, I've supported companies like MAIF, AXA, Renault, and Mutavie in their IT transformations. My job: translating business needs into technical solutions that actually work.

Today, I do exactly the same thing — but with artificial intelligence.

After an AI engineering training (OpenClassrooms), I designed and deployed complete Machine Learning systems:
→ Recommendation systems (hybrid Random Forest + SVD architecture)
→ Automated MLOps pipelines (MLflow, Evidently AI, CI/CD)
→ Prediction APIs (FastAPI) and user interfaces (Streamlit)
→ Drift detection and automatic retraining

What makes me different: I speak both languages. I understand your business challenges AND the technical constraints. An ML model that no one understands has no value. An AI solution that doesn't solve a real business problem is an expensive gadget.

What I concretely offer:
→ Identify high-value AI use cases in your business
→ Design and deploy tailor-made ML solutions
→ Audit your existing AI systems (code quality, MLOps, performance)
→ Train and support your teams in adopting AI

Sectors of expertise: insurance, financial services, retail, services.
Technical stack: Python, Scikit-learn, XGBoost, TensorFlow, NLP (SpaCy, Transformers), MLflow, Evidently AI, FastAPI, Streamlit, Docker, PostgreSQL, Git/GitHub Actions.

📩
🌐 cyrille-elie.com
  • English

    Fluent

  • French

    Native or bilingual

Can work on-site
Niort (up to 50km)

Experience

  • Indépendant
    AI Engineer
    April 2025 - Today (1 year and 2 months)
    Consulting and development in artificial intelligence for businesses.
    After 20 years of large account IT consulting, I completed an AI engineering training (OpenClassrooms) to combine my business expertise with Machine Learning technologies.
    Flagship project: Smart Kitchen Planner — hybrid recommendation system (Random Forest + SVD) for HelloFresh France, with a complete MLOps infrastructure (MLflow, Evidently AI, automated retraining pipelines).
    Specialties: identification of AI use cases, design of ML systems, deployment in production, team support.
    Artificial Intelligence Machine Learning MLflow AI Consulting
  • Indépendant & ESN
    IT Consultant / Business Analyst
    January 2003 - January 2024 (21 years)
    France
    20 years of techno-functional consulting on SI transformation projects for large corporate clients, primarily in insurance and financial services.
    Path: Siebel CRM developer - technical architect - functional consultant - Business Analyst.
    This progression gave me a complete understanding of the chain, from code to business needs. Clients: MAIF, Mutavie, MAIF VIE, Inter Mutuelles Habitat, AXA, Renault, Bouygues Telecom, Société Générale, Crédit Agricole AM, Harmonie Mutuelles.
    Typical missions: functional analysis, solution design, business/IT coordination, specifications, acceptance testing, technical architecture, CRM development, data quality.

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Education

  • Computer Science Engineer - Master of Computer Science
    ESIEA
    2003
  • AI Engineer
    OpenClassrooms
    2026

Skill set

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