29 days ago
Barcelona, SpainSenior
Responsibilities
- Build and maintain ML pipelines for training, evaluation, and deployment.
- Create reproducible, containerized model-training environments and manage large-scale compute, including GPU and spot autoscaling.
- Define observability and alerting for ML systems, including model drift, data quality, and feature coverage.
- Design and scale batch and streaming data-ingestion and feature-transformation flows.
- Develop internal Python libraries and platform tooling that accelerate ML experimentation and deployment.
- Ensure ML services are modular, testable, and monitored from the start.
- Explore and productionize LLM-based features, including retrieval pipelines, prompt evaluation, and model serving.
- Collaborate with ML Scientists, Backend Engineers, and Data Engineers, and mentor peers in reliability, testing, and delivery.
Requirements
- 5+ years of relevant experience designing and deploying production ML systems.
- Proficiency in Python, SQL, and workflow orchestration tools such as Airflow, Kubeflow, or Dagster.
- Experience with modern cloud platforms, preferably GCP or AWS, as well as Kubernetes and CI/CD workflows.
- Understanding of the ML lifecycle, including training, validation, deployment, and monitoring.
- Strong DevOps practices involving Git, Terraform, logging and observability, Docker, and Kubernetes.
- Ability to work independently with ML Scientists and mentor peers.
- Exposure to LLM serving, vector databases, or generative-AI product flows.
- Deep hands-on expertise with AI tools, especially agentic AI software development life cycle practices.
Benefits
- Open, collaborative, dynamic, and diverse workplace culture.
- Monthly allowance for lessons on Preply.com.
- Learning and Development budget and time off for self-development.
- Competitive financial package with equity, leave allowance, and health insurance.
- Access to free mental health support platforms.
- Opportunity to contribute to language learning and teaching products used internationally.
Tech Stack
Apache AirflowApache KafkaApache SparkAWSDatabricksdbtDockerGitGoogle BigQueryGoogle Cloud PlatformKubernetesMLflowPythonSQLTerraform
Categories
About Preply
Preply builds an online marketplace that connects learners with human tutors for live language lessons, supported by AI tools. Consumers book 1:1 sessions and ongoing courses, while organizations use Preply Business for corporate language training; revenue comes from commissions and subscriptions. Founded in 2012 and privately held, Preply operates globally with 100,000+ tutors teaching 90+ languages.