Senior MLOps Engineer - Data Ingestion - Paris

Job summary

Responsibilities

We are looking for a SeniorMLOps Engineer to join the Panda Team (Data & ML Operations) in Data & AI Platform team.

• 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…
• 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)

Tech stack

• SQL
• MLflow
• TypeScript
• Java
• Python
• React
• Terraform
• Kubernetes