Senior MLOps Engineer - Data Ingestion - Paris
Core
Build and maintain secure ML pipelines in production for healthcare data, focusing on data ingestion, pseudo-anonymization, and threat detection to enable data-driven decision-making while protecting patient privacy.
Role type
Senior MLOps Engineer (Data Ingestion & Security)
Builds
End-to-end ML model pipelines (LLM and custom models), secure data export services, and data ingestion services with ML-based threat detection.
Domain
Healthcare technology / Data & AI Platform
Deliverable
production ML models | infrastructure
Required skills
ML orchestration (MLflow, Braintrust), Python, Terraform, Kubernetes, cloud infrastructure (GCP/AWS/Azure), model evaluation frameworks, golden dataset management, SRE practices, observability.
Preferred skills
LLM deployment, data security and privacy frameworks (GDPR, anonymization), security services and threat detection systems.
Technologies
Python, Terraform, Kubernetes, MLflow, Braintrust, GCP, AWS, Azure, Rails, TypeScript, Java, React Native.
Responsibilities
Design and implement end-to-end ML model pipelines with robust deployment, evaluation, 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 extracting, transforming, and loading data from various sources; implement automation and orchestration tools; monitor data and ML platforms for performance, reliability, and security; mentor team members on MLOps expertise.
Seniority
Senior, hands-on IC with mentorship responsibilities