Overview

As a Senior ML Platform/Ops Engineer at Preply, you will productionize ML systems to ensure reliability, performance, and observability. You’ll bridge ML, data engineering, and cloud infrastructure to enable fast, secure, and reproducible model development from training to deployment. You’ll collaborate with ML Scientists, Backend and Data Engineers to shape the ML lifecycle foundations. The role offers exposure to end-to-end ML workflows, including LLM-based features, in a fast-paced, mission-driven environment. You’ll impact learning at scale for learners and tutors across 175 countries.

Compensaciones / Incentivos

- lesson allowance stipend
- Learning & Development budget
- health insurance
- mental health support platforms
- time off for self-development
- equity

Responsabilidades

- Build and maintain ML pipelines for training, evaluation, and deployment using Databricks, MLFlow, Airflow, DBT, Sagemaker, Tecton
- Support AI scientists by creating reproducible, containerized model training environments and manage compute at scale (e.g., spot/GPU autoscaling)
- Define and implement observability and alerting for ML systems (model drift, data quality, feature coverage)




- Design and scale data ingestion and feature transformation flows using batch (Spark/BigQuery) and streaming (Kafka)
- Contribute to internal Python libraries and platform tooling to accelerate experimentation and deployment
- Ensure ML services are modular, testable, and monitored from day one
- Exploration and productionization of LLM-based features (retrieval pipelines, prompt evaluation, model serving)

Requisitos principales

- 5+ years designing and deploying ML systems in production
- Proficiency in Python and SQL, and orchestration tools (Airflow, Kubeflow, Dagster)
- Experience with GCP or AWS, Kubernetes, and CI/CD workflows
- Understanding of ML model lifecycles: training, validation, deployment, monitoring
- Strong DevOps practices: Git, IaC (Terraform), logging/observability, Docker/K8s
- Ability to work independently with ML Scientists and mentor peers in reliability, testing, and delivery
- Exposure to LLM serving, vector databases, or GenAI-powered product flows

- independent work style
- mentorship
- collaboration
- Python
- SQL
- Airflow

📌 Senior Machine Learning Platform/Ops Engineer - Preply (Barcelona)
🏢 Preply
📍 Barcelona