ML Engineer (AI)

TL;DR

ML Engineer (AI): Building and deploying reliable, production-ready machine learning solutions with an accent on the end-to-end ML lifecycle, from integration to monitoring. Focus on designing scalable systems, conducting data analysis, and ensuring ML models deliver measurable value in real-world conditions.

Location: Must be based in or able to work from Almaty, Kazakhstan

Company

A global ride-hailing and service platform operating in 48 countries with a mission to challenge injustice and impact 1 billion lives by 2030.

What you will do

• Build and deploy end-to-end machine learning solutions.
• Conduct data analysis, annotation, and processing for ML system design.
• Design solutions using standard patterns while proposing alternative technical approaches.
• Ensure technical solutions are reusable, flexible, and extensible through peer reviews.
• Deploy features and manage monitoring tools to prevent unintended side effects.
• Solve engineering design issues to ensure performance and non-functional requirements are met.

Requirements

• Proficiency in Python and frameworks for streaming, batch, and asynchronous data processing.
• Solid experience with classic machine learning techniques and algorithms.
• Experience with MLOps tools and practices for model lifecycle management.
• Familiarity with Golang for backend and infrastructure integration.
• Strong problem-solving skills with a focus on engineering principles and data-driven reasoning.
• Excellent communication and collaboration skills.

Culture & Benefits

• Official employment and stable salary.
• Hybrid work mode with a flexible schedule.
• Health insurance and necessary work equipment.
• Access to professional counseling including psychological, financial, and legal support.
• Diverse internal training programs and paid external training courses.
• Discount club membership.