Overview
Lea el resumen de esta oportunidad para comprender qué habilidades, incluidas las habilidades interpersonales relevantes y el dominio de paquetes de software, se requieren.
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 xqbhyrx 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 (Barcelona)
🏢 Preply
📍 Barcelona