Senior MLOps Engineer - Data Ingestion - Paris
Doctolib is looking for a Senior MLOps Engineer to join the Panda Team (Data & ML Operations) within the Data & AI Platform team. Your mission will be to build and maintain secure ML pipelines in production, transforming how healthcare data is handled at scale while protecting patient privacy across millions of users. The role is a full-time permanent position (CDI) based in Nantes and Paris with a hybrid policy of 2 remote days per week.
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 (e.g. SQL injection) 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 extract, transform and load data from various sources, handling multiple data formats (text, images, audio, video)
- ▹Implement automation and orchestration 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
Requirements
- ▹At least 7+ years as an MLOps Engineer or ML Platform Engineer with proven production model lifecycle management experience
- ▹Expert-level experience with ML orchestration tools (MLflow, Braintrust or similar) for batch processing and inference pipelines
- ▹Strong Site Reliability Engineering (SRE) foundation with focus on operations excellence, reliability and observability
- ▹Expertise in Python for automation and ML pipeline scripting
- ▹Strong proficiency with infrastructure-as-code tools such as Terraform and container orchestration (Kubernetes)
- ▹Experience with model evaluation frameworks and golden dataset management
- ▹Solid understanding of cloud infrastructure (preferably GCP, AWS or Azure)
- ▹Excellent problem-solving skills focused on identifying and resolving infrastructure bottlenecks
- ▹Fluent English
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
Soft skills
What we offer
- ▹Free comprehensive health insurance for you and your children
- ▹25 days of paid vacation per year, plus up to 14 days of RTT
- ▹Free mental health and coaching services through Moka.care
- ▹Work from abroad for up to 10 days per year
- ▹Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib
- ▹Work council subsidy for sport club or creative class membership
- ▹50% reimbursement of public transport subscription
- ▹Parent Care Program: one additional month of leave on top of legal parental leave
- ▹Support package for caregivers and workers with disabilities
- ▹Relocation support in case of international mobility
- ▹Access to the best AI tools for coding and dedicated training
About the company
Doctolib builds innovative products and features to improve the daily lives of care teams and patients. Its solutions run on a single fully cloud-native platform supporting web and mobile interfaces, multiple languages and country- and specialty-specific requirements. The stack includes Rails, TypeScript, Java, Python, Kotlin, Swift and React Native, and AI is used ethically across the products.