Overview
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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 / Ventajas
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 xqbhyrx 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 (Barcelona)
🏢 Preply
📍 Barcelona