Senior MLOps / AI Engineer
Core
Design, implement, and maintain ML pipelines and CI/CD workflows for profile recommendations, pricing optimization, and customer experience on dating platforms.
Role type
Senior MLOps / AI Engineer
Builds
ML pipelines, inference APIs, and production ML systems for dating applications
Domain
Online dating / Machine Learning Operations
Deliverable
production ML models
Required skills
ML/DevOps practices, CI/CD, Docker, Terraform, monitoring & alerting, IAM, model serving constraints, scalable code design
Preferred skills
Kafka/event-driven architectures, A/B testing frameworks, BI tools (QlikView, Looker)
Technologies
Google Vertex AI, BigQuery, Elasticsearch, Kafka, Scala, Python, Spark, SQL, AWS, Cloud Run
Responsibilities
Design and maintain ML pipelines and CI/CD workflows; Expose ML models through inference APIs; Own monitoring, alerting, and reliability of ML systems in production; Write optimized, high-performance, scalable, testable, maintainable, and observable code; Ensure operational readiness of ML models; Act as a local ML Ops reference for the Paris Data Science team
Seniority
Senior, hands-on IC
