ML Engineer

We are a team of Machine Learning Engineers focused on turning ideas and prototypes into reliable, production-ready systems. We own the end-to-end lifecycle of ML solutions — from integration with existing services to deployment, monitoring, and continuous improvement — ensuring our models deliver stable, measurable value in real-world conditions

Key Responsibilities

• Build and deploy machine learning solutions from end to end, contributing to the full ML delivery cycle
• Conduct data analysis, annotation, and processing as a key part of the ML system design
• Design solutions using common patterns and tools, and propose alternative approaches when needed
• Ensure solutions meet design standards and are reusable, flexible, and extensible through peer reviews
• Deploy features and ensure they work as intended while preventing unintended side effects
• Document technical solutions and ensure all necessary monitoring and support to...