Device Connectivity: Connecting physical hardware (sensors and data loggers) to the digital platform using industrial protocols like Modbus, RS-485, and MQTT.
Systems Engineering: Designing, testing, and commissioning electrical and electronic components to ensure everything communicates correctly from the field to the cloud.
On-Site Execution: Handling the physical installation, wiring, configuration, and troubleshooting of equipment at customer sites.
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* Prepare and develop detailed 2D/3D M&E drawings (Single Line Diagrams, Fire Protection, Power & Lighting layouts, Piping & HVAC ducting) based on engineer sketches and specifications
* Amend and update drawings according to site measurements and project requirements (As-Built Drawings)
* Coordinate with Project Engineers and other Consultants to ensure M&E services do not clash with structural elements
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Develop Multilingual Support & Translation Models: Enhance the platform’s AI translation capabilities for real-time multilingual customer service interactions, ensuring smooth cross-language communication.
Refine Response Evaluation Metrics: Define and implement quality evaluation metrics for AI-generated responses to track customer satisfaction and improve conversational AI quality through A/B testing and iterative optimization.
Enable AI-Seller Collaboration: Build AI-powered seller assistance tools to help merchants quickly respond to customer inquiries, manage store operations, and resolve disputes efficiently.
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Participate in building a large-scale graph storage and graph learning platform to improve relationship building and governance within the TikTok e-commerce community.
Explore and research cutting-edge technologies in machine learning/graph learning/sequence learning and related fields, implement these technologies in practical business scenarios, and support the production of scalable and optimised machine learning models.
Currently pursuing a PhD in Computer Science, engineering or quantitative field.
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Build rules, algorithms and machine learning models, to respond to and mitigate business risks in our products/platforms. Such risks include and are not limited to account integrity, scapler,deal-hunter, malicious activities, brushing, click-farm, information leakage etc.
Analyze business and security data, uncover evolving attack motion, identify weaknesses and opportunities in risk defense solutions, explore new space from the discoveries.
Define risk control measurements. Quantify, generalize and monitor risk related business and operational metrics. Align risk teams and their stakeholders on risk control numeric goals, promote impact-oriented, data-driven data science practices for risks.
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Design and build supporting/debugging tools as needed.
Support the production of scalable and optimised AI/machine learning (ML) models.
Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models.
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Coordinate with internal stakeholders and external vendors to ensure campaigns are executed accurately and on time.
Monitor platform performance and ensure listings, visuals, and promotional content are updated and optimized.
Support the execution, monitoring, and optimization of paid digital advertising campaigns across: 1. Meta Ads (Facebook & Instagram) 2. Google Ads (Search, SEM & Performance Max) 3. TikTok Ads (experience preferred)
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Optimize algorithms related to recall/sorting for new user recommendations, improving the relevance of traffic source handling and the accuracy and diversity of new user recommendations.
Optimize intelligent marketing algorithms, utilizing uplift models and operations research methods to improve marketing efficiency and drive e-commerce GMV growth.
Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, Mathematics, or a related technical discipline.
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We’re looking for a results-driven E-commerce Manager who can oversee online sales channels, optimize performance, and drive digital growth. If you enjoy combining strategy, data, and customer experience to scale online business, this role is for you.
What You’ll Do
Manage and optimize e-commerce platforms and online stores.
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Develop media and content marketing strategies to drive relevant customers with the goal of improving purchase intent
As business owner to manage the business performance as well as effective tracking with web analytics and other business indicators to deliver revenue target and KPIs
Liaise with different business functions including IT, Logistics, Group legal and compliance team
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