inDrive

19 hours ago

ML Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Build and deploy machine learning solutions end to end, turning prototypes into reliable, production-ready systems. Own the full ML lifecycle including integration, deployment, monitoring, and continuous improvement. Perform data analysis, annotation, and data processing for system design, design reusable/extensible solutions, and ensure models meet KPIs and non-functional requirements. Document technical approaches and collaborate within a community of practice.

Location: Almaty

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Build and deploy machine learning solutions end to end as part of the full ML delivery cycle.
•Conduct data analysis, annotation, and processing for ML system design.
•Design solutions with common patterns and tools, proposing alternatives when needed.
•Deploy features and ensure intended behavior while preventing unintended side effects.
•Document technical solutions and ensure monitoring/support tools are in place.

Pay and Benefits

Perks:MentoringLearning ProgramsSports Activities

Key Requirements

•Proficiency in Python for streaming, batch, and asynchronous data processing.
•Solid experience with classic machine learning techniques and algorithms.
•Experience using MLOps tools and practices to manage the ML model lifecycle.
•Familiarity with Golang for backend system and infrastructure integration.
•Ability to conduct thorough data analysis and preparation.

Skills:Problem-solvingCommunicationCollaborationData-driven reasoningSelf-development

Tech Stack:PythonGolang

Company Brief

inDrive

A ride-hailing and mobility platform that lets passengers and drivers negotiate fares directly in real time. It also offers intercity travel, courier, and delivery services in multiple countries.

Industry: Mobility Platforms

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Mountain View, United States

Founded: 2013

Website LinkedIn

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inDrive

19 hours ago

ML Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Location: Almaty

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Build and deploy machine learning solutions end to end as part of the full ML delivery cycle.
•Conduct data analysis, annotation, and processing for ML system design.
•Design solutions with common patterns and tools, proposing alternatives when needed.
•Deploy features and ensure intended behavior while preventing unintended side effects.
•Document technical solutions and ensure monitoring/support tools are in place.

Pay and Benefits

Perks:MentoringLearning ProgramsSports Activities

Key Requirements

•Proficiency in Python for streaming, batch, and asynchronous data processing.
•Solid experience with classic machine learning techniques and algorithms.
•Experience using MLOps tools and practices to manage the ML model lifecycle.
•Familiarity with Golang for backend system and infrastructure integration.
•Ability to conduct thorough data analysis and preparation.

Skills:Problem-solvingCommunicationCollaborationData-driven reasoningSelf-development

Tech Stack:PythonGolang

Company Brief

inDrive

A ride-hailing and mobility platform that lets passengers and drivers negotiate fares directly in real time. It also offers intercity travel, courier, and delivery services in multiple countries.

Industry: Mobility Platforms

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Headquarters: Mountain View, United States

Founded: 2013

Website LinkedIn