Hi, I'm Nathan Lorber, an AI and ML engineer with 3+ years of experience building and deploying ML models and LLM-powered systems in production. I enjoy turning complex data into practical, scalable solutions and driving AI adoption across organizations. In my work I design end-to-end ML pipelines from data engineering to model delivery, collaborate with cross-functional teams, and help establish governance and best practices for responsible AI.

Nathan Lorber

Hi, I'm Nathan Lorber, an AI and ML engineer with 3+ years of experience building and deploying ML models and LLM-powered systems in production. I enjoy turning complex data into practical, scalable solutions and driving AI adoption across organizations. In my work I design end-to-end ML pipelines from data engineering to model delivery, collaborate with cross-functional teams, and help establish governance and best practices for responsible AI.

Available to hire

Hi, I’m Nathan Lorber, an AI and ML engineer with 3+ years of experience building and deploying ML models and LLM-powered systems in production. I enjoy turning complex data into practical, scalable solutions and driving AI adoption across organizations.

In my work I design end-to-end ML pipelines from data engineering to model delivery, collaborate with cross-functional teams, and help establish governance and best practices for responsible AI.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Intermediate

Language

French
Fluent
English
Fluent
German
Advanced
Portuguese
Beginner
Italian
Beginner

Work Experience

Data Scientist at Majelan
April 1, 2023 - August 31, 2025
Designed and built a multilingual podcast recommendation engine using Retrieval-Augmented Generation (RAG) with LLM re-ranking, deployed via Terraform and Kubernetes and served through FastAPI. Implemented end-to-end ML pipelines from data ingestion (Snowflake/dbt) to model delivery (XGBoost, PyTorch/TF) and API deployment. Chaired the AI Steering Committee, defined company-wide policies on AI usage, and led bi-monthly AI workshops for up to 50 attendees to foster technical and non-technical understanding. Advised cross-functional teams on AI feasibility, scoping, and governance, contributing to responsible AI adoption across the organization.

Education

Master’s Diploma in Particle Physics at CentraleSupélec / OpenClassrooms
January 1, 2020 - December 31, 2021
Master’s Diploma in Data Science at CentraleSupélec / OpenClassrooms
January 1, 2021 - December 31, 2022

Qualifications

Graduate Cum Laude Master’s Diploma in Particle Physics
January 1, 2020 - December 31, 2021
Master’s Diploma in Data Science
January 1, 2021 - December 31, 2022

Industry Experience

Financial Services, Retail, Agriculture & Mining, Healthcare, Media & Entertainment

Experience Level

Expert
Expert
Expert
Expert
Expert
Intermediate

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