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Hi, I'm Thibault Metais, a Machine Learning Engineer focused on building scalable ML systems and data-driven products. I currently serve as the lead engineer on the AIRoster project, where I help design mission-generation ML pipelines and build models that predict conversion rates for city-scale and global deployments. I design and implement MLOps pipelines (Airflow, DBT, SageMaker), integrate weather and geospatial data to improve accuracy, and develop real-time APIs for model inference. I've built reproducibility workflows (DVC, CI/CD), contributed to embedding-based transaction clustering and LLM-assisted classification workflows, and mentored junior data scientists while shaping roadmaps and project deliveries.…Hi, I'm Thibault Metais, a Machine Learning Engineer focused on building scalable ML systems and data-driven products. I currently serve as the lead engineer on the AIRoster project, where I help design mission-generation ML pipelines and build models that predict conversion rates for city-scale and global deployments. I design and implement MLOps pipelines (Airflow, DBT, SageMaker), integrate weather and geospatial data to improve accuracy, and develop real-time APIs for model inference. I've built reproducibility workflows (DVC, CI/CD), contributed to embedding-based transaction clustering and LLM-assisted classification workflows, and mentored junior data scientists while shaping roadmaps and project deliveries.

Thibault Metais

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Hi, I'm Thibault Metais, a Machine Learning Engineer focused on building scalable ML systems and data-driven products. I currently serve as the lead engineer on the AIRoster project, where I help design mission-generation ML pipelines and build models that predict conversion rates for city-scale and global deployments. I design and implement MLOps pipelines (Airflow, DBT, SageMaker), integrate weather and geospatial data to improve accuracy, and develop real-time APIs for model inference. I've built reproducibility workflows (DVC, CI/CD), contributed to embedding-based transaction clustering and LLM-assisted classification workflows, and mentored junior data scientists while shaping roadmaps and project deliveries.…Hi, I'm Thibault Metais, a Machine Learning Engineer focused on building scalable ML systems and data-driven products. I currently serve as the lead engineer on the AIRoster project, where I help design mission-generation ML pipelines and build models that predict conversion rates for city-scale and global deployments. I design and implement MLOps pipelines (Airflow, DBT, SageMaker), integrate weather and geospatial data to improve accuracy, and develop real-time APIs for model inference. I've built reproducibility workflows (DVC, CI/CD), contributed to embedding-based transaction clustering and LLM-assisted classification workflows, and mentored junior data scientists while shaping roadmaps and project deliveries.

Available to hire

Hi, I’m Thibault Metais, a Machine Learning Engineer focused on building scalable ML systems and data-driven products.
I currently serve as the lead engineer on the AIRoster project, where I help design mission-generation ML pipelines and build models that predict conversion rates for city-scale and global deployments.

I design and implement MLOps pipelines (Airflow, DBT, SageMaker), integrate weather and geospatial data to improve accuracy, and develop real-time APIs for model inference. I’ve built reproducibility workflows (DVC, CI/CD), contributed to embedding-based transaction clustering and LLM-assisted classification workflows, and mentored junior data scientists while shaping roadmaps and project deliveries.