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Omar Chimère N.OC

Omar Chimère N.

ML Engineer | ML Ops | Generative AI

800 €/Tag
Berlin, DE
3-7 Jahre

Durchschnittliche Reaktionszeit: 1h

Über Omar Chimère

I help companies create measurable value with AI by designing, building, and deploying production-ready ML systems. As an AI Tech Lead & ML Engineer, I’ve delivered solutions on GCP and Databricks that reduced fraud-related revenue risk by over 2×, cut manual intervention in dispatch operations by 30%, and increased average order value by 7% through personalized recommendations. I specialize in MLOps, cloud-native AI, NLP, and Generative AI, building scalable, reliable systems that drive real business outcomes.

Beyond implementation, I mentor teams and lead end-to-end AI initiatives, spanning credit scoring, visual defect detection, chatbots, and AI-powered content pipelines. I support clients from strategy to deployment, helping them operationalize AI and grow their internal capabilities.
  • Französisch

    Muttersprachlich oder zweisprachig

  • Englisch

    Muttersprachlich oder zweisprachig

Vor Ort möglich
Berlin (bis zu 50 km), Frankfurt am Main (bis zu 50 km)

Projekt- und Berufserfahrung

  • YASSIR (YC W25)
    Tech Lead AI & ML Ops
    HIGHTECH
    März 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%
    Cloud GCP SQL IA générative Python MLOps
  • OpenClassrooms
    AI & Data Instructor
    BILDUNG & E-LEARNING
    Februar 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.
    RAG Python Machine learning MLflow Business analysis
  • ONOGONE
    Lead Machine Learning Enginner & MLOps
    BERATUNG & AUDITS
    Februar 2019 - März 2022 (3 Jahre und 1 Monat)
    Paris, France
    Credit 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.
    NLP Computer Vision Python AWS MLOps

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Ausbildung und Abschlüsse

  • Master 2
    Université Paris Dauphine
    2018
    Master 2

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