ML Engineer (AI)

TL;DR

ML Engineer (AI): Building and deploying end-to-end machine learning solutions with an accent on MLOps lifecycle management, streaming data processing, and integration with backend systems. Focus on production-ready engineering, solving complex design issues, and ensuring stable system performance within a global ride-hailing infrastructure.

Location: Must be based in Cairo, Egypt (Hybrid work mode).

Company

hirify.global is a global ride-hailing and service platform challenging industry injustice with a mission to positively impact one billion lives by 2030.

What you will do

• Develop and deploy machine learning solutions from end to end, contributing to the full delivery cycle.
• Conduct data analysis, annotation, and processing for ML system design.
• Manage the ML model lifecycle using MLOps tools and best practices.
• Collaborate with engineering teams to integrate ML models with backend services using Golang.
• Ensure solution scalability, reusability, and stability through rigorous peer reviews and monitoring.
• Solve technical challenges to meet key performance indicators and non-functional requirements.

Requirements

• Must be located in Cairo, Egypt.
• Proficiency in Python and its frameworks for streaming, batch, and asynchronous data processing.
• Strong background in classic machine learning techniques and algorithms.
• Experience with MLOps tools for managing model lifecycles.
• Familiarity with Golang for infrastructure integration.
• Strong problem-solving skills and ability to connect technical features to business value.

Culture & Benefits

• Stable salary with official employment.
• Comprehensive health insurance.
• Hybrid work mode with a flexible schedule.
• Access to professional counseling including psychological, financial, and legal support.
• Discount club membership and diverse internal training programs.
• Support for professional development with paid training courses.