亚马逊Sr. AI Process Engineer, Seller Compliance
任职要求
基本任职资格 - 7+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience - Knowledge of data engineering pipelines, cloud solutions, ETL management, databases, visualizations and analytical platforms - Bachelor's degree in Computer Science, Engineering, or a related technical field - Strong proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, or similar). - Demonstrated experience designing, implementing, and operating production AI systems at scale. - Hands‑on experience with cloud platforms (preferably AWS) and associated ML services. 优先任职资格 - Master’s degree in Computer Science, Machine Learning, or a related field. - Experience with NLP, deep learning, or document understanding applications. - Ex…
工作职责
Technical Development & Architecture * Design and implement scalable AI/ML solutions for Compliance use cases * Lead the development of efficient ML models and end‑to‑end data processing pipelines from ingestion to serving. * Build robust, production-grade AI services using Python and modern ML frameworks. * Make and document sound architectural decisions, ensuring systems are scalable, secure, and cost‑effective. * Establish and maintain high engineering standards, including testing, monitoring, and documentation. Engineering Leadership * Partner closely with data scientists, product managers, and operations teams to deliver end‑to‑end AI/ML solutions. * Define and evolve the technical architecture for AI-powered features and platforms. * Lead code reviews, enforce best practices, and elevate engineering quality across the team. * Continuously improve AI system performance, reliability, and latency through experimentation and optimization. Technical Collaboration & Operations * Work with cross‑functional partners to understand requirements, refine scope, and prioritize technical work. * Provide technical guidance and mentorship to junior and mid‑level engineers. * Collaborate with platform and DevOps teams to ensure smooth deployment, monitoring, and maintenance of AI systems. * Implement and evolve ML Ops practices (e.g., CI/CD for models, feature stores, model monitoring, and retraining workflows).
Technical Development & Architecture * Design and implement scalable AI/ML solutions for Compliance use cases * Lead the development of efficient ML models and end‑to‑end data processing pipelines from ingestion to serving. * Build robust, production-grade AI services using Python and modern ML frameworks. * Make and document sound architectural decisions, ensuring systems are scalable, secure, and cost‑effective. * Establish and maintain high engineering standards, including testing, monitoring, and documentation. Engineering Leadership * Partner closely with data scientists, product managers, and operations teams to deliver end‑to‑end AI/ML solutions. * Define and evolve the technical architecture for AI-powered features and platforms. * Lead code reviews, enforce best practices, and elevate engineering quality across the team. * Continuously improve AI system performance, reliability, and latency through experimentation and optimization. Technical Collaboration & Operations * Work with cross‑functional partners to understand requirements, refine scope, and prioritize technical work. * Provide technical guidance and mentorship to junior and mid‑level engineers. * Collaborate with platform and DevOps teams to ensure smooth deployment, monitoring, and maintenance of AI systems. * Implement and evolve ML Ops practices (e.g., CI/CD for models, feature stores, model monitoring, and retraining workflows).
• Define and deliver large-scale BI solutions, including data modeling, KPI standardization, and pipeline automation. • Lead migration of legacy reporting into modern AWS QuickSight and other BI platforms. • Establish and maintain data foundations for social and marketing data, ensuring completeness, accuracy, and compliance. • Conduct advanced analytics, including user behavior modeling, segmentation, and marketing campaign measurement. • Generate actionable insights and recommendations to improve seller journeys, marketing effectiveness, and AI agent performance. • Collaborate with marketing operation team, data engineers, product managers, SDEs, financial analysts, and data scientists to design metrics and guide business decisions. • Drive best practices in operational excellence, data quality management, and data governance. A day in the life You will define marketing BI strategy, build scalable data models and generate actionable insights that drive product, marketing, and AI initiatives. You will partner with data engineering, product, and science teams to ensure high-quality, compliant, and scalable data foundations. Your work will directly influence AI-powered agents, seller engagement, and business growth.
We are seeking a dynamic Manager to drive the success of Lazada Sponsored Solutions across Southeast Asia, covering Thailand, Vietnam, Philippines, Indonesia, Singapore, and Malaysia. In this role, you will craft data-driven strategies, advise cross-border sellers, and lead go-to-market initiatives for new product solutions—all aimed at maximizing the impact of our digital advertising platform. The ideal candidate combines strong product management, data analytics, and B2B marketing skills with an in-depth understanding of platform-based and digital advertising business models. You will play a pivotal role in promoting the adoption of Lazada Sponsored Solutions and driving growth for our e-commerce ecosystem. If you are passionate about leveraging data and innovation to fuel e-commerce success, we invite you to join our team and make a significant impact in the region. Responsibilities: • Develop and execute B2B product strategies and marketing campaigns designed to boost seller engagement and success. • Craft compelling product positioning and narratives that resonate with our target customers and set our solutions apart in Southeast Asia. • Clearly articulate the unique value propositions of Lazada Sponsored Solutions to both internal and external stakeholders. • Lead the creation of engaging and informative marketing content across assigned product domains and projects. • Manage end-to-end product launches, ensuring consistent communication with all stakeholders and timely delivery of key deliverables. • Drive successful B2B marketing campaigns primarily through our owned channels. • Monitor key performance metrics and analyze data to uncover growth opportunities. • Conduct thorough market research to identify target seller segments, understand their needs, and analyze relevant product use cases. • Develop detailed seller personas to inform product positioning and messaging strategies. • Collaborate with the account management team, providing them with the insights and tools necessary to effectively promote Lazada Sponsored Solutions. • Oversee critical B2B marketing operations, including governance and traffic generation, to support overall campaign success.
1、主要负责渠道成本及支付体验SR目标,包括数据分析、成本对账、策略制定及推进落地执行等 2、负责渠道接入项目从商务、BRD到项目落地全流程管理。 3、负责渠道优化项目从用户声音分析、调研分析、BRD到项目落地全流程管理,聚焦到重点渠道链路优化。 4、渠道费用对账及付款流程。 5、大促支付保障及日常支付问题应急响应及处理。 1、Mainly responsible for the payment SR and channel cost objectives, including data analysis, cost reconciliation, strategy formulation, and promoting implementation. 2、Responsible for the full process management of channel integration projects from business affairs, BRD to project implementation. 3、Responsible for the full process management of channel optimization projects from user feedback analysis, survey analysis, BRD to project implementation, focusing on optimizing key channel paths. 4、Channel cost reconciliation and payment process. 5、Major promotion payment guarantee and daily payment problem emergency response and handling.