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ML · DATA · CLOUD ENGINEER
>build reliable AI systems

Yassine Bentayfor

Machine Learning Engineer & Data Scientist building production-ready AI and data systems for teams that need models to work in practice.

I work at the intersection of machine learning, data engineering, cloud infrastructure, semantic search, and applied mathematics - turning prototypes into reliable systems.

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About

PROFILE.MD

An engineer who turns research prototypes, data pipelines, and models into reliable production systems.

I am a Machine Learning Engineer and Data Scientist on a dual-degree path between ENSIIE in France and EMI in Morocco, focused on machine learning, applied mathematics, and statistics.

My work repeats one pattern: understand the real problem, build the data foundation, model or optimize the system, evaluate with real metrics, then wrap it into an API, dashboard, or pipeline with validation, CI/CD, and observability.

// SAME ENGINEER - FOUR LENSES

PROFILE
roleML / Data / Cloud Engineer
locationÉvry-Courcouronnes, France
educationENSIIE x EMI - M.Eng
languagesArabic · French · English
availabilityOpen - CDI, Sept 2026
ML / LLM Systems
Oracle Labs semantic search - FAISS + ColBERT + E5
+47% nDCG - 86% test coverage
Data Engineering
P&G Delta Lake on Azure Databricks
15 notebooks migrated - DAB CI/CD - Unity Catalog
Optimization / Quant
NN vol replication + clinical MILP
1.55e-8 MSE - 99.2% feasibility
Cloud / MLOps
Thales AWS serverless event-driven
zero-touch deploy - least-priv IAM - IaC

Experience

CASE FILES - 5

Scroll through the case files. The rail locks to the nearest experience, then swaps the active card with a short transition.

01 / 05

Projects

SYSTEMS - FEATURED

Hover a card to watch its architecture run. Open one for the full case-study brief.

Skills

SYSTEM STACK - 5 LAYERS

The stack I assemble, from raw data at the base up to the product surface. Hover a layer to pause it.

Recognitions

RECOGNITIONS - 8

Competitions, certifications, and team achievements from 2019 onward.

Contact

CONTACT

Let's build the
next system.

Available for a CDI from September 2026. Open to ML engineering, data science, and data/cloud roles where research meets production.