1 day ago
Paris, France
Senior / Staff+
Responsibilities
- Design and implement end-to-end ML model pipelines in production.
- Own data pseudo-anonymization architecture within ingestion services.
- Build and maintain secure data export services with ML-based threat detection.
- Manage golden datasets and implement production model evaluation frameworks.
- Build and maintain data pipelines for efficient data extraction, transformation, and loading.
- Implement automation and orchestration tools using ML orchestration platforms.
- Monitor data and ML platforms for performance, reliability, and security.
- Mentor team members on MLOps expertise and best practices.
Requirements
- At least 7+ years as an MLOps Engineer or ML Platform Engineer.
- Expert-level experience with ML orchestration tools for batch processing.
- Strong Site Reliability Engineering foundation focused on operations excellence.
- Expertise in Python for automation and ML pipeline scripting.
- Proficiency with infrastructure-as-code tools and container orchestration.
- 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 infrastructure bottlenecks.
- Fluency in English.
Benefits
- 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.
- Work from abroad for up to 10 days per year.
- Lunch vouchers worth €8.50 per working day.
- Subsidy for sport club or creative class memberships.
- 50% reimbursement of public transport subscriptions.
- Additional month of leave for parental leave.
- Support for caregivers and workers with disabilities.
- Relocation support for international mobility.
- Access to the best AI tools for coding and development.
Tech Stack
AWSAzureGoogle Cloud PlatformJavaKotlinKubernetesMLflowPythonReact NativeRuby on RailsSwiftTerraformTypeScript
Categories
AI & MLData EngineeringDevOps
