Senior MLOps Engineer - Data Ingestion - Paris
Core
Build and maintain secure ML pipelines in production for healthcare data ingestion, focusing on data pseudo-anonymization, threat detection, and model evaluation.
Role type
Senior MLOps Engineer (Data Ingestion)
Builds
End-to-end ML model pipelines, data export services, and data ingestion infrastructure for healthcare applications.
Domain
Healthcare / Data Infrastructure / ML Operations
Deliverable
production ML models | infrastructure
Required skills
ML pipeline orchestration, Python, Site Reliability Engineering (SRE), Infrastructure as Code (Terraform), Kubernetes, Cloud infrastructure (GCP/AWS/Azure), Model evaluation frameworks, Golden dataset management
Preferred skills
LLM deployment, Data security and privacy frameworks (GDPR), Threat detection systems
Technologies
MLflow, Braintrust, Terraform, Kubernetes, Python
Responsibilities
Design and implement end-to-end ML model pipelines with deployment and monitoring; Own data pseudo-anonymization architecture; Build secure data export services with ML-based threat detection; Manage golden datasets and production model evaluation frameworks; Build and maintain data pipelines for multi-format data; Implement automation and orchestration tools; Monitor data and ML platforms for performance and security; Mentor team members on MLOps expertise.
Seniority
Senior, hands-on IC with mentorship
