AI Engineer - Digital Unit Sports (f/m/d)

Worldwide | Oct. 20, 2026

Report as Closed

Company: Decathlontechnology

Country: Worldwide

Type: Onsite

Employment: Full-time

Description:

AI Engineer - Digital Unit Sports (f/m/d)

THE CONTEXT

For more than 50 years, thanks to its innovative products and its culture based on accessibility, Decathlon has continued to reinvent the sports market.

Our mission: to make the pleasures and benefits of sport sustainably accessible to as many people as possible.

Today, we are leveraging this culture of innovation and our digital expertise so that a wider audience can benefit from the pleasures of sport, using technology. 
We are creating new experiences for sportspeople – virtual coaching, loyalty programs, intelligent in-store experiences, offers of new and used products, as well as rental services for a wide range of Decathlon and partner products. Our goal: to create a digital ecosystem of products and services.

The Digital Unit Sports is at the heart of Decathlon's transformation and innovation because it serves the Decathlon teams in charge of the construction of our global product offering, product design and their marketing. Did you know that 80% of products sold in stores are designed and developed by Decathlon? A great responsibility!

You will join the PIC (Product Info & Content) Data team which is made up of Data Scientists, Data Analyst, BI engineers, ML/AI engineers and Data PM. 

The team's goal is to achieve superior product insights and content quality at scale through AI and analytics.

YOUR RESPONSIBILITIES

As an AI Engineer within the PIC team, you will have the opportunity to:

• Work closely with PMs and data scientists to identify business impact opportunities, leverage data to quantify results, and participate in planning the AI strategy and roadmap for the team.
• Build and produce innovative end-to-end agentic systems, with a focus on evaluation.
• Create intelligent systems for real-time monitoring and observability of ML solution and data.
• Deploy LLMs (Large Language Models) and LMMs (Large Multimodal Models) in production.
• Create impactful web apps for our business partners
• Contribute to sharing best practices on MLOps and LLMOps tools to improve productivity and quality of results for ML engineers and data scientists across the enterprise.
• Solve problems with a focus on product development.
• Conduct research and experimentation to evaluate and implement new ML/AI techniques and technologies.
• Ensure model quality and performance by using rigorous validation techniques and monitoring models in production.
• Work with DataOps teams to automate the deployment and management of ML models.
• Write and maintain technical documentation for developed systems and models.

The Technical Scope

• Python(FastApi, Langchain, Langraph, Pydantic)
• Spark/PySpark
• Databricks (Genie, Experiments)
• AWS S3/DBFS
• AWS Glue/DeltaLake
• AWS SageMaker
• AWS Bedrock
• GCP Vertex AI
• GCP Cloud Run
• GCP Alloy DB
• GCP Cloud SQL
• GCP Agent Platform
• Docker
• Kubernetes
• Airflow
• MLflow
• GitHub actions
• Streamlit

WHAT YOU WILL NEED TO SUCCEED

• You have at least 3 years of experience in Machine Learning / MLOps including putting into production ML solutions with high impact

  Apply here:

  Web: Apply here

  ☆ Save job

  Emails: