inDrive

16 hours ago

ML Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 16 hours agoStatus: Live

Job Summary

Own the end-to-end lifecycle of machine learning solutions, from integration with existing services to deployment, monitoring, and continuous improvement. Build and deploy reliable, production-ready models and features, perform data analysis, annotation, and preparation, and design extensible solutions. Partner with the team through peer reviews and a community of practice, ensuring KPI and non-functional requirements are met in real-world conditions.

Location: Cairo

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Build and deploy machine learning solutions end to end, contributing across the full ML delivery cycle.
•Conduct data analysis, annotation, and processing as part of ML system design.
•Design reusable, flexible, and extensible solutions using common patterns and tools, and propose alternatives when needed.
•Deploy features and ensure they work as intended while preventing unintended side effects.
•Document technical solutions and ensure monitoring and support tools are in place while meeting KPI and non-functional requirements.

Pay and Benefits

Perks:MentoringLearning ProgramsCo-financed Courses

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.
•Ability to conduct thorough data analysis and preparation.
•Strong communication and collaboration skills, with the ability to seek and validate information.

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

16 hours ago

ML Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 16 hours agoStatus: Live

Job Summary

Location: Cairo

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Build and deploy machine learning solutions end to end, contributing across the full ML delivery cycle.
•Conduct data analysis, annotation, and processing as part of ML system design.
•Design reusable, flexible, and extensible solutions using common patterns and tools, and propose alternatives when needed.
•Deploy features and ensure they work as intended while preventing unintended side effects.
•Document technical solutions and ensure monitoring and support tools are in place while meeting KPI and non-functional requirements.

Pay and Benefits

Perks:MentoringLearning ProgramsCo-financed Courses

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.
•Ability to conduct thorough data analysis and preparation.
•Strong communication and collaboration skills, with the ability to seek and validate information.

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