Senior ML Engineer - Demand & Supply Chain (Remote)

Decathlon Digital EN; Paris; Hybride; EUR 70 000 - 110 000; Plein temps

Avantages offerts par ce poste

Remote-friendly: 2 days/week

Monthly premiums

Quarterly premiums

Résumé du poste

Decathlon Digital EN is seeking a Senior Machine Learning Engineer to join the PRISM team in Paris. You will drive the industrialization, deployment, and monitoring of AI models for demand and assortment planning within the Supply Chain division.

You will work with data scientists, engineers, and product managers to implement cutting-edge AI solutions that optimize operations. The role emphasizes ML model deployment, production monitoring, and collaboration across teams to deliver scalable

Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, or related field.
• 5 years of experience in machine learning engineering or similar role.
• Proven experience developing and deploying ML models.

Responsabilités

• Develop and implement AI models for demand and assortment planning in the supply chain domain.
• Collaborate with Data Scientists and Product Managers to translate requirements into scalable ML solutions.
• Collaborate with data engineering to optimize data pipelines for model training and inference.
• Industrialize ML models and deploy them into production environments.
• Monitor model performance and implement improvements for accuracy and reliability.
• Mentor junior team members and share knowledge.

Connaissances

Time Series Forecasting

Python

MLOps

Model deployment

Data preprocessing

Formation

Bachelor's degree in CS/Engineering/Math

Master's degree or higher

Outils

Databricks

AWS EKS

Sagemaker

Docker

Kubernetes

Airflow

Spark

Kafka

Description du poste

Decathlon Digital EN is seeking a Senior Machine Learning Engineer to join the PRISM team in Paris. You will drive the industrialization, deployment, and monitoring of AI models for demand and assortment planning within the Supply Chain division.

You will work with data scientists, engineers, and product managers to implement cutting-edge AI solutions that optimize operations. The role emphasizes ML model deployment, production monitoring, and collaboration across teams to deliver scalable