Senior Machine Learning Platform Ops Engineer

About the role

Preply is scaling its AI‑powered learning platform and needs a senior engineer to productionise machine learning systems with high reliability, performance and observability. You will work at the intersection of ML, data engineering and cloud infrastructure, enabling fast, secure and reproducible model development from training to deployment.

Key responsibilities

• Build and maintain ML pipelines for training, evaluation and deployment using Databricks, MLflow, Airflow, DBT, SageMaker and Tecton.
• Support AI scientists by creating reproducible, containerised training environments and managing compute at scale, including spot and GPU autoscaling.
• Define and implement observability and alerting for model drift, data quality and feature coverage.
• Design and scale data ingestion and feature‑transformation flows with batch (Spark/BigQuery) and streaming (Kafka) technologies.
• Contribute to internal Python libraries and platform tooling that accelerate experimentation and deployment.
• Ensure ML services are modular, testable and monitored from day one, and explore productionisation of LLM‑based features.

Required profile

• 5+ years of experience designing and deploying ML systems in production.
• Strong ability to work independently with ML scientists and mentor peers on reliability, testing and delivery.
• Product‑impact driven mindset with exposure to LLM serving, vector databases or GenAI product flows.

Required skills

• Python and SQL.
• Orchestration tools such as Airflow, Kubeflow or Dagster.
• Modern cloud platforms (GCP or AWS), Kubernetes and CI/CD workflows.
• Infrastructure‑as‑code (Terraform), Docker and Kubernetes containerisation.
• Data processing frameworks: Spark, BigQuery, Kafka.
• ML lifecycle tools: Databricks, MLflow, DBT, SageMaker, Tecton.

What we offer

• Open, collaborative and diverse culture.
• Generous monthly allowance for lessons on Preply.com, learning & development budget and time off for self‑development.
• Competitive financial package with equity, leave allowance and health insurance.
• Free mental‑health support platforms.
• Opportunity to impact learners and tutors in 175+ countries.