Senior Machine Learning Platform/Ops Engineer

Responsibilities

• Build and maintain ML pipelines for training, evaluation, and deployment using tools like Databricks, MLFlow, Airflow, DBT, Sagemaker, and Tecton
• Support AI scientists in creating reproducible, containerized model training environments and manage compute at scale
• Define and implement observability and alerting for ML systems, including model drift and data quality
• Design and scale data ingestion and feature transformation flows using batch and streaming technologies
• Contribute to internal Python libraries and platform tooling to accelerate experimentation
• Explore and productionize LLM-based features such as retrieval pipelines and prompt evaluation

Requirements

• 5+ years of experience designing and deploying ML systems in production
• Proficiency in Python and SQL
• Experience with orchestration tools like Airflow, Kubeflow, or Dagster
• Experience with cloud platforms (GCP or AWS), Kubernetes, and CI/CD workflows
• Strong DevOps practices including Git, Terraform, and Docker
• Exposure to LLM serving, vector databases, or GenAI-powered product flows
• Deep expertise in AI tools and agentic AI SDLC

About the Company

Preply is a category-defining Ed-Tech company that connects learners with tutors worldwide. Having reached unicorn status, Preply is transforming education through human-led, AI-enhanced learning experiences for millions of people globally.