[nom]

AI / ML Engineer – GenAI, RAG & Model Evaluation

([téléphone] · | [e-mail] · | [lien]

Summary

AI / ML Engineer building and validating production-oriented AI, RAG, and agentic solutions with strong experience in model and LLM evaluation and failure analysis. Experienced in delivering reliable enterprise AI workflows.

Experience

AI ENGINEER · Apr 2026 – Present

SII – Consultant for Amadeus · Sophia Antipolis, FR

• Design, build, and validate production-oriented agentic AI workflows for orchestration, structured outputs, and enterprise automation.
• Develop and integrate AI assistants using Azure OpenAI, Python, LangChain, LangGraph, pandas, and NumPy for enterprise use cases.
• Evaluate RAG and agentic workflows using Giskard, RAGAS, and DeepEval, analyzing response quality and failure cases to improve reliability through iterative Agile validation.

DATA SCIENTIST · Jun 2024 – Mar 2026

SCIENTIAE · Rabat, MA

• Developed end-to-end Machine Learning and NLP solutions for classification, scoring, recommendation, and customer segmentation, covering data preparation, model training, evaluation, and performance optimization.
• Industrialized and deployed AI/ML solutions as production-oriented services using FastAPI, Docker, REST APIs, and CI/CD pipelines, with MLflow for experiment tracking, model comparison, and versioning.
• Built scalable data and AI workflows using PySpark, and developed GenAI/RAG solutions integrating LLMs, se- mantic retrieval, PostgreSQL, and enterprise knowledge sources.
• Monitored and optimized model quality through drift analysis, accuracy, precision/recall, F1-score, and cost KPIs, while collaborating with business stakeholders to translate requirements into maintainable AI solutions.

DATA SCIENTIST INTERN · Jan 2024 – Jun 2024

SCIENTIAE · Rabat, MA

• Benchmarked Gemini, LLaMA, and Mistral across quality, latency, and cost, with drift checks and KPI dashboards for model selection.
• Shipped a fake-news detection PoV with an evaluation, reaching 96% accuracy on authentic-content identification.

Education

Institut National des Postes et Télécommunications (INPT) · Rabat, MA

State Engineering Degree in Data Science (Applied AI) · Sep 2021 – Jun 2024

CPGE Omar Ibn Alkhattab · Meknes, MA

Preparatory Classes (MP) · Sep 2019 – Jun 2021

Projects

Internal Documentation Search

• Built RAG assistants for enterprise documentation with source citations, grounded generation, semantic retrieval, and test-question-based evaluation.

Internal AI CV Scoring & Interview Assistant

• Built an explainable AI platform for CV parsing, candidate scoring, evidence highlights, search, interview-question generation, RBAC, and audit logging.

Technical Skills

Machine Learning & AI: Machine Learning, NLP, LLMs, RAG, AI Agents, Scikit-learn, PyTorch, TensorFlow

MLOps & Deployment: MLflow, Docker, CI/CD, FastAPI, REST APIs, Model Deployment, Model Evaluation

Data & Engineering: Python, SQL, PySpark, pandas, NumPy, PostgreSQL, Elasticsearch, Git

GenAI & Evaluation: Azure OpenAI, LangChain, LangGraph, Giskard, RAGAS, DeepEval

Cloud: Azure, AWS, GCP

Languages

Arabic: Native · | French: C1 · | English: C1

Certifications

GCP Data Engineer Certification · | AWS Certified Cloud Practitioner