Senior Machine Learning Platform/Ops Engineer

🕒 April 15

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Preply

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2012

📚 Education

🏪 Marketplace

👥 B2C

Education • Marketplace • B2C

Preply is an online education marketplace that connects learners with professional tutors for live, personalized 1-on-1 lessons across languages and other subjects. The platform offers thousands of vetted tutors, user reviews, mobile apps, and tools for scheduling and secure payments, plus plans for individuals and corporate language training. Preply focuses on tailored learning paths, flexible scheduling, and progress tracking to help students improve conversational and exam skills.

📋 Description

• Build and maintain ML pipelines for training, evaluation, and deployment using tools like Databricks, MLFlow, Airflow, DBT, Sagemaker, Tecton • Support AI scientist creating reproducible, containerized model training environments (on-demand and scheduled), and manage compute at scale (e.g., spot/GPU autoscaling) • Define and implement observability and alerting for ML systems (model drift, data quality, feature coverage, etc.) • Design and scale data ingestion and feature transformation flows using batch (e.g., Spark/BigQuery) and streaming (Kafka or equivalent) • Contribute to internal Python libraries and platform tooling that accelerate experimentation and deployment for all model teams • Ensure ML services are modular, testable, and monitored from day one • Exploration and productionization of LLM-based features (e.g., retrieval pipelines, prompt evaluation, model serving)

🎯 Requirements

• Proven experience designing and deploying ML systems in production (5+ years in relevant roles) • Proficiency in Python and SQL, and orchestration tools (Airflow, Kubeflow, Dagster, etc.) • Experience with modern cloud platforms (preferably GCP or AWS), Kubernetes, and CI/CD workflows • Understanding of ML model lifecycles: training, validation, deployment, and monitoring • Strong DevOps practices: Git, IaC (Terraform), logging/observability, containerization (Docker/K8s) • Ability to work independently with ML Scientists and mentor peers in reliability, testing, and delivery. Product impact driven. • Exposure to LLM serving, vector databases, or GenAI-powered product flows

🏖️ Benefits

• A generous monthly allowance for lessons on Preply.com • Learning & Development budget and time off for your self-development • A competitive financial package with equity • Leave allowance • Health insurance • Access to free mental health support platforms