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Senior MLOps Engineer - Data Ingestion - Paris

Doctolib · Paris, France

Confidence
Low confidence
Posted
7 Apr 2026
First seen
24 Oct 2026
Last checked

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Low confidence

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Job posting

Relocation support in case of international mobility

On job-boards.greenhouse.io/doctolib, read 26 Oct 2026.

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First seen 24 Oct 2026. We check every day and remove closed roles.

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job-boards.greenhouse.io/doctolib

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About the role

Your Impact We are looking for a Senior MLOps Engineer to join the Panda Team (Data & ML Operations) in Data & AI Platform team . Your mission will be to build and maintain secure ML pipelines in production, transforming how we handle healthcare data at scale. You will work in a feature team developing critical data infrastructure that enables data-driven decision-making while protecting patient privacy across millions of users.

Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients. What you'll build Your responsibilities include but are not limited to: • Design and implement end-to-end ML model pipelines in production (LLM and custom models) with robust deployment, evaluation, and monitoring frameworks • Own data pseudo-anonymization architecture within ingestion services, converting Tier 0 (personal identifiers) to Tier 1 (anonymized data) while ensuring data quality and model performance • Build and maintain secure data export services with ML-based threat detection to prevent attack vectors (SQL injection, etc.

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