Coordinate and monitor site activities to ensure project work is carried out according to approved drawings, specifications, quality standards, and project schedules.
Provide on-site and remote technical support, troubleshoot equipment and process-related issues, and ensure customer satisfaction through timely issue resolution.
Provides deep visibility into cloud cost, usage, performance, and optimization opportunities across complex multi-cloud environments, enabling organizations to make data-driven infrastructure decisions.
Build global logistic and warehousing network, improve operations efficiency and reduce operational cost with data analysis, machine learning and operation research methods.
Payment Product builds standardized platform capabilities across payments, refunds, settlement, merchant services, billing, and related financial workflows. The team develops reusable products and infrastructure for multiple businesses, markets, and payment methods.
Perform on-site technical support including installation, preventive maintenance, configuration, operation and troubleshooting of deployed software and hardware devices.
Responsible for all incoming material quality control, qualification( First Article) and quality problem. Supervise team to meet group goal and drive continuous improvement among cross-functional team for incoming material quality control.
As a member of the Infrastructure Security team, you will focus on 2–3 of the following areas based on your interests, experience, and the team's priorities;
Contribute to building the intelligent operations system for ByteDance's global Video & Edge business. Work on solution design, technology evaluation, core module development, testing, and delivery for AI Agent and AIOps platform capabilities.
Responsible for building and continuously optimizing algorithm solutions in product profiling construction & product information quality improvement etc. to accelerate supply operational efficiencies in global e-commerce markets;
Exploring Cutting-Edge NLP Technologies: From basic tasks like word segmentation and Named Entity Recognition (NER) to advanced business functions like text and multimodal pre-training, query analysis, and fundamental relevance modeling, we apply deep learning models throughout the pipeline where every detail presents a challenge.