Overview

In this role you will architect and evolve Preply’s ML platform to move research into production at scale. You’ll design cloud-native systems for distributed training and inference, with strong emphasis on observability, testing, and cost-efficiency. You will partner with ML leads and engineers to set standards, enable experimentation, and deliver modular, measurable ML services. This position offers impact across product teams and a chance to shape the future of a general learning platform.

Compensaciones / Beneficios

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

Responsabilidades

- Design and implement the ML platform architecture (experiment tracking, artifact management, scalable deployment)
- Build cloud-native distributed training and inference solutions with GPU support and autoscaling
- Own CI/CD for ML, including testing, validation, and performance checks
- Embed observability across ML workflows (metrics, alerts, drift detection, lineage)
- Mentor engineers, influence standards,



and reduce risk in complex decisions
- Align platform direction with experimentation velocity, cost-efficiency, and user impact
- Develop modular, testable ML services with monitoring from day one
- Contribute to LLM platform capabilities (RAG pipelines, latency-optimized inference, prompt experimentation frameworks)

Requisitos principales

- 8+ years of engineering experience in large-scale Data/ML platforms
- Deep knowledge of cloud services and end-to-end ML workflows (versioning, monitoring, performance benchmarking)
- Experience collaborating with scientists and building enabling tools
- Excellent communication and cross-functional influence; mentoring ML engineers
- Familiarity with LLM frameworks (LangChain, LlamaIndex), vector stores, and retrieval infrastructure

- communication and influence
- mentoring and coaching
- cross-functional collaboration
- cloud-native ML platform design
- distributed training and inference on cloud
- CI/CD for ML

📌 Staff Machine Learning Ops Engineer - Preply (Barcelona)
🏢 Preply
📍 Barcelona