Data Engineer for AI Product
New
Paris / Barcelona / Milan / BerlinFull-Time
Salary not disclosed
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Job Details
- Required Skills
- PythonETLAirflowSparkdbtMLOps
Requirements
- Experience building ML infrastructure and pipelines.
- Fluency in Python for data engineering.
- Solid experience with tools such as Spark, dbt, Airflow, or Ray.
- Deep understanding of the full ML lifecycle.
- Experience operating and maintaining data systems in production.
- Ability to design data architectures balancing latency, cost, and reliability.
Responsibilities
- Design, implement, and maintain Python pipelines for model training and inference datasets.
- Design storage and access patterns for large-scale feature datasets.
- Implement and maintain infrastructure for model deployment, versioning, and scaling.
- Build data quality and drift detection systems to ensure model performance.
- Establish reusable Python and pipeline patterns.
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