🛠 Tech Stack

💼 About This Role

You'll build and scale ML infrastructure for a unicorn EdTech platform powering personalized language learning. Your work will enable reproducible model development and productionization of LLM-based features that transform how millions learn.

🎯 What You'll Do

• Build and maintain ML pipelines using Databricks, MLFlow, Airflow
• Define observability and alerting for model drift and data quality
• Design data ingestion and feature transformation flows
• Productionize LLM-based features like retrieval pipelines

📋 Requirements

• 5+ years designing and deploying ML systems in production
• Python and SQL proficiency
• Experience with Kubernetes and CI/CD workflows
• Understanding of ML model lifecycles and monitoring

✨ Nice to Have

• Exposure to LLM serving or vector databases
• Experience with streaming (Kafka) and batch (Spark) processing

🎁 Benefits & Perks

• 💸 Competitive financial package with equity, leave, health insurance
• 🌍 Monthly lesson allowance on Preply.com
• 📚 Learning & Development budget and time off
• 🧠 Free mental health support platforms
• 🎯 Mission-driven culture with global impact