Related skills
azure terraform aws python kubernetes📋 Description
- Design and implement end-to-end ML model pipelines in production (LLMs and custom models)
- Own data pseudo-anonymization architecture within ingestion services (Tier 0 to Tier 1)
- Build and maintain secure data export services with ML-based threat detection
- Manage golden datasets and production evaluation for anonymization quality
- Build and maintain data pipelines that ingest diverse formats (text, images, audio, video)
- Automate provisioning with ML orchestration platforms (MLflow, Braintrust, or similar)
🎯 Requirements
- 7+ years as MLOps/ML Platform Engineer with production lifecycle management
- Expert in ML orchestration tools (MLflow, Braintrust, or similar)
- Strong SRE foundation focusing on reliability and observability
- Python expertise for automation and ML pipelines
- Proficient with Terraform and Kubernetes; cloud infra experience (GCP/AWS/Azure)
- Fluent English
🎁 Benefits
- Free comprehensive health insurance for you and your children
- 25 days of paid vacation per year, plus up to 14 days RTT
- Free mental health and coaching services through Moka.care
- Work from abroad for up to 10 days per year thanks to flexibility days
- Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib
- 50% reimbursement of your public transport subscription
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