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Senior MLOps Engineer

Doctolib • France
Relocation
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AI Summary

Seeking a Senior MLOps Engineer to build and maintain secure ML pipelines for healthcare data at scale. Responsibilities include designing end-to-end ML pipelines, owning data pseudo-anonymization, and building secure data export services. Requires 7+ years of MLOps experience, expertise in ML orchestration tools, SRE foundation, and Python proficiency.

Key Highlights
Build and maintain secure ML pipelines in production, including LLM and custom models.
Own data pseudo-anonymization architecture and build secure data export services with ML-based threat detection.
Requires 7+ years of MLOps/ML Platform Engineer experience with a strong SRE foundation.

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Key Responsibilities
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.) using adaptive models rather than manual rules.
Manage golden datasets and implement production model evaluation frameworks to ensure anonymization quality and system reliability.
Build and maintain data pipelines that efficiently extract, transform, and load data from various sources, handling multiple data formats (text, images, audio, video).
Implement automation and orchestration tools using ML orchestration platforms (MLflow, Braintrust, or similar) to streamline infrastructure provisioning and reduce manual effort.
Monitor data and ML platforms for performance, reliability, and security; identify and troubleshoot issues proactively.
Mentor team members on MLOps expertise and best practices to reduce knowledge silos and build organizational capability.
Technical Skills Required
ML Orchestration Tools Python Infrastructure as Code

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Benefits & Perks
Free comprehensive health insurance
25 days of paid vacation
Free mental health and coaching services

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Nice to Have
Production LLM or custom model deployment experience
Knowledge of data security and privacy frameworks (GDPR, data anonymization, pseudonymization)
Experience building and monitoring security services and threat detection systems
Strong communication and mentoring skills to drive knowledge transfer across teams

Job Description

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.

Your responsibilities include but are not limited to:

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Job Overview
Posted Date Oct 05, 2026
Employment Type Full-time
Experience Level Not Applicable
Location France
Category Programming
Company Doctolib
Mentioned Skills
python java react typescript ai gcp gdpr kubernetes aws terraform cloud infrastructure as code cloud native ai tools sql mlflow mlops kotlin react native swift

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