Define and drive Service Level Objectives (SLOs) for online machine learning inference systems, ensuring the reliability, availability, and performance of large-scale production inference services;
support the full-duplex voice interaction technology in practical applications, and conduct cutting-edge research in the application of voice interaction;
Design and develop standard and bespoke learning solutions in both in-person and virtual formats, translating concepts, frameworks and SIA’s aviation expertise into practical, applicable skills and behaviours that can be effectively transferred across industries. Solutions should be tailored to the client’s context, business needs and learner profile. Core deliverables include Training Slides, Learner’s Guide, Facilitator’s Guide and Assessment Plan, where applicable.
Bachelor’s degree in technical communication, computer science, information technology, linguistics, or a related field; equivalent experience may be considered
Bachelor’s degree in computer science, software engineering, data science, statistics, or a related field; equivalent practical experience may be considered
Participate in building large-scale (billion level) E-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc.
Lead the end-to-end process of internship hiring and support other recruitment efforts by posting job openings, screening resumes, and coordinating interview schedules.
Deep Learning Systems Architecture & Ownership : Design and own CNN, U-Net, and ViT systems for precision inspection, measurement, and defect classification. Own real-time anomaly detection from sensor and time-series product development data streams. Highest day-to-day output responsibility.
Experiment Tracking & Evaluation Reporting: Own MLflow experiment logging for assigned team model runs; conduct model evaluations using standard metrics; produce structured evaluation reports reviewed by team. Your reports directly inform model iteration decisions.
Responsible for development of data-empowered capabilities for e-commerce platform, enable different e-commerce verticals to extract and apply key insights from oceans of data to meet their business needs;
Design and develop ML algorithms and intelligent systems for large-scale e-commerce scenarios: recommendation, ranking, retrieval, forecasting, content understanding, pricing, governance, and conversational AI.
Define and drive Service Level Objectives (SLOs) for online machine learning inference systems, ensuring the reliability, availability, and performance of large-scale production inference services;
Driving a community of Client Experience Ambassadors: assist in providing an overview of KPI achievement and to highlight opportunities in-stores to exceed clients expectations, such as Dare to Delight and VOICE as Client Experience Measurements.
Stay up to date on industry trends and best practices to identify potential customers and target segments and establish business prospects (eg. cold calling, networking, industry events) to understand clients’ learning needs
Design, develop, and evaluate Agentic AI and multi-agent architectures for task decomposition, planning, reasoning, coordination, and workflow orchestration within the Digital ATCO Assistant project.