Über Omar Chimère
Französisch
Muttersprachlich oder zweisprachig
Englisch
Muttersprachlich oder zweisprachig
Projekt- und Berufserfahrung
- YASSIR (YC W25)Tech Lead AI & ML OpsHIGHTECHMärz 2022 - Heute (4 Jahre und 3 Monate)Paris, Frankreich
- Design, optimize, and deploy production-ready ML algorithms to solve high-impact business challenges.
- Build scalable ML pipelines and architectures on GCP (Vertex AI) and Databricks with strong MLOps practices.
- Lead and manage ML & GenAI experimentation, identifying high-ROI use cases and validating them through data-driven evaluation.
- Collaborate with Engineers, Product Managers, and Operations teams to design, launch, and scale AI solutions across the organization.
- Mentor and train teams in ML engineering, MLOps, and GenAI best practices.
Delivered measurable results:- Fraud detection: Reduced fraud-related revenue risk by over 2×
- Dispatch & routing optimization: Cut manual intervention by 30%
- Recommendation systems: Increased average basket size by 7%
- OpenClassroomsAI & Data InstructorBILDUNG & E-LEARNINGFebruar 2022 - Heute (4 Jahre und 4 Monate)Paris, Frankreich
- • Deliver training programs in AI Engineering, Machine Learning, and Business Analysis, with an emphasis on practical, real-world application of core concepts.
- Design hands-on projects and case studies inspired by real industry challenges to build both tool proficiency and theoretical understanding.
- Coach and upskill professionals in data analysis, modeling, data-driven decision-making, and complex problem-solving.
- ONOGONELead Machine Learning Enginner & MLOpsBERATUNG & AUDITSFebruar 2019 - März 2022 (3 Jahre und 1 Monat)Paris, FranceCredit Scoring – Loan Decision Optimization
- Developed and deployed an AI model that optimizes loan allocation to increase margin per client.
- Built credit scoring and financial risk analysis models integrated directly into loan decision workflows.
- Automated model training, deployment, and API integration using AWS SageMaker and Python.
- Managed project planning, client communication, and full delivery cycle.
- Result: +5% client profitability and higher loan decision accuracy.
AI Tool for Automatic Presentation Correction- Led a team of 3 data scientists to build and deploy ML models for automated document and slide correction.
- Designed and implemented the backend architecture on AWS and built an automated ML pipeline with SageMaker.
- Developed the Python API with Tornado to support real-time integration.
- Oversaw client communication and ensured alignment with business requirements.
Computer Vision – Automatic Defect Detection for Textiles and Bricks- Improved image preprocessing using OpenCV to enhance model performance.
- Evaluated and fine-tuned deep learning models (Mask R-CNN, Yolact) using TensorFlow.
- Deployed a scalable inference pipeline on AWS SageMaker for production.
Used-Car Search Chatbot- Oversaw a data scientist to deliver an AI-powered vehicle search assistant.
- Designed and deployed the backend architecture using AWS ECS and SageMaker for ML integration.
- Managed client communication and the full project lifecycle.
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Ausbildung und Abschlüsse
- Master 2Université Paris Dauphine2018Master 2
Zertifizierungen
- IBM RAG and Agentic AI: Build Next-Gen AI Systems Certificat ProfessionnelCoursera & IBM2025
- Retrieval Augmentation GenerationDeepLearning.AI2025