Required skills
- Data Engineering
- Machine Learning Engineering
- MLOps
- Data Pipelines
- ML Pipelines
- GCP
- Cloud Optimization
- Code Quality
- Testing
- Code Review
- Documentation
Languages: French
Job description
Join a multidisciplinary product team within the group's digital commerce platform, focusing on designing and developing end-to-end data and ML pipelines.
Project overview
You will join a multidisciplinary product team (PO, Tech Lead, developers, Data Scientist) within the group's digital commerce platform. You will also interact with a transverse AI team that disseminates DataOps / MLOps best practices to the Search, Retail Media, and Knowledge Graph teams, and that works on new uses of generative AI.
Your missions:
Design and develop end-to-end data pipelines: ingestion, transformation, storage, and provisioning
Design and develop complete ML pipelines: data preparation, training, evaluation, publication, and inference
Implement quality, reproducibility, and observability for Data and ML pipelines
Evolve the Data / ML architecture on GCP, the orchestration foundation, and MLOps components
Optimize existing systems in terms of performance, reliability, maintainability, and cloud costs
Ensure code quality (tests, reviews, documentation) and participate in Run
Share best practices with the Data, ML, and Software Engineering teams
Project details
- Start: flexible
- Remote: onsite
- Location: Lille, France, FR
- Rate: 63-63 EUR/h
- Languages: French
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