Data AI engineer (All Genders) job opportunity at Dailymotion.

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Date2026-02-12T11:26:56.086Z bot
Dailymotion Data AI engineer (All Genders)
Experience: General
Pattern: Full-time
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degreeGeneral
loacation Issy-les-Moulineaux, Île-de-France, France
loacation Issy-les-Mouli..........France
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Job DescriptionAt Dailymotion, we’re building AI-powered products that rely on high-quality, well-governed data—from advertising optimization and measurement to trust & safety and internal decision-making tools.We are looking for an AI Data Engineer to design and operate the data pipelines, datasets, and evaluation workflows that make our AI systems reliable, reproducible, and measurable in production.In this role, you’ll work at the intersection of data engineering, ML/LLM product needs, and platform reliability, partnering closely with AI/ML engineers, product engineers, and analytics stakeholders. You’ll help ensure that the data powering training, retrieval (RAG), evaluation, and monitoring is curated, traceable, and secure—so teams can ship AI features with confidence.We offer challenging work with direct business impact, opportunities to learn and grow, and a collaborative culture that encourages every team member to bring their point of view to the table.ResponsibilitiesBuild and maintain reliable data pipelines (batch and/or streaming) that power AI features, evaluation, and analytics use cases.Develop curated datasets and feature tables for training and evaluation; implement validation checks, lineage, and clear ownership.Support knowledge ingestion for RAG: document processing, chunking, metadata enrichment, indexing/backfills, and freshness monitoring.Implement and operate evaluation data workflows: golden sets, labeling support, drift checks, regression reporting, and dataset versioning.Collaborate with AI/ML and product engineers to translate requirements into scalable data models and pipelines.Improve pipeline performance and cost efficiency through incremental processing, partitioning, and resource tuning on GCP.Contribute to operational excellence: monitoring, alerting, troubleshooting, and

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