●Collaborate with Machine Learning Engineers, Backend Engineers, Data Scientists, and Product Managers to develop AI-powered features and services. ● Build, deploy, and maintain production-ready machine learning models that improve allocation, ETA prediction, demand forecasting, and marketplace
Position Overview: The AI Engineer role is responsible for designing, building, and operationalizing AI-enabled data products and intelligent solutions that enhance enterprise decision-making, automation, and analytics capabilities. This role bridges data engineering, machine learning, and analytics
Job Expectations: Position Type: Experienced - Senior/Lead Employment Type: Full-Time, Permanent (Direct Hire) Work Setup & Location: Hybrid (3x onsite/week) - Makati City Work Schedule: Weekdays; Night Shift (US) Industry: Artificial Intelligence / Retail Technology About
Job Expectations: Position Type: Experienced - Senior/Lead Employment Type: Full-Time, Permanent (Direct Hire) Work Setup & Location: Hybrid (3x onsite/week) - Makati City Work Schedule: Weekdays; Night Shift (US) Industry: Artificial Intelligence / Retail Technology About
Role Overview: Work set-up: Hybrid 3x / RTO 2x per week | Eton, Centris Work shift: Nightshift This role focuses on building and deploying AI/ML solutions within enterprise data ecosystems. Key responsibilities include developing ML models
Role Overview: Work set-up: Hybrid 3x / RTO 2x per week | Eton, Centris Work shift: Nightshift This role focuses on building and deploying AI/ML solutions within enterprise data ecosystems. Key responsibilities include developing ML models
