TL;DR
ML Engineer (AI): Building and deploying reliable, production-ready machine learning solutions with an accent on the end-to-end ML lifecycle, including integration, deployment, and continuous monitoring. Focus on designing reusable and extensible ML systems, conducting thorough data analysis, and ensuring high-performance, scalable model delivery.
Location: Hybrid in Limassol, Cyprus
Company
A global technology platform challenging injustice through ride-hailing, delivery, and financial services, serving over 360 million users across 48 countries.
What you will do
- Build and deploy ML solutions from end to end, contributing to the full development cycle
- Conduct data analysis, annotation, and processing for ML system design
- Design solutions using standard patterns while proposing innovative alternatives
- Ensure solutions are reusable and extensible through active peer reviews
- Deploy features and perform monitoring to prevent unintended side effects
- Collaborate with the team to ensure solutions meet KPIs and non-functional requirements
Requirements
- Proficiency in Python and its frameworks for streaming and asynchronous data processing
- Solid experience with classic machine learning techniques and algorithms
- Proven experience using MLOps tools and practices for model lifecycle management
- Familiarity with Golang for backend system and infrastructure integration
- Strong problem-solving skills with a focus on engineering principles
- Excellent communication and collaboration abilities
Culture & Benefits
- Stable salary with official employment status
- Comprehensive health insurance coverage
- 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 partially or fully paid external courses
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