阿里云阿里云智能-高级解决方案专家(全球大客户)-北京/上海/杭州
任职要求
•Master's Degree (M.S./M.A.) in Computer Science, Engineering, or equivalent. •Years of Experience: 8+, primarily in a client-facing role, with a strong technical background: cloud, AIML, cloud-native, big data, vertical-based digital transformation, etc. •Familiarity with at least one of the major public cloud platforms (AWS / Azure / GCP). •Strong technical background, the working experience should involve technical consulting, development, and deployment, •Hands-on experience in Cloud Native architecture: Container, DevOps. • Experience working with popular PaaS, SaaS solutions, such as ERP, CRM, and SCM Systems is a bonus. •Good communication skills, a team player, and a professional attitude to work. •Able to work under high pressure, a quick learner with a passion for cloud technology. Able to think strategically about businesses, products, and technical challenges. •Fluent in written and spoken English is a must. •Be fully mobile, visiting our clients for meetings and workshops. Travel requirement: 20% - 40% travel.
工作职责
The Senior Solutions Architect (SA) role is a pre-sales technical position in Alibaba Cloud’s international business division. Our seasoned solution architects offer comprehensive IT knowledge and industry insights when crafting solutions for customers and partners. Solution Architects are ultimately responsible for architect solutions that enable customer success. Key responsibilities include, but are not limited to: • Working closely with customers to ensure the successful delivery of Alibaba Cloud services • Design large-scale, compliant cloud infrastructures (e.g., multi-cloud, edge computing) for AI workloads (LLMs, computer vision, MLOps). • Guiding large enterprise implementation and operation, preferably in AIML/GenAI projects. • As a cloud solution architect, evangelizing and helping customers and partners understand the technical and business benefits of Alibaba Cloud products, solutions, and services • Understanding the unique requirements of customers and partners, and providing appropriate technical solutions and architecture designs based on Alibaba Cloud technologies, solutions, and services • Responsible for demo development and testing Alibaba Cloud services when necessary • Assisting customers in migrating their existing IT systems to Alibaba Cloud • Output a market insight analysis report of segmented fields based on demand information such as market development trends, market space, core scenarios, and pain points in the segmented fields. • Produce targeted solutions according to customer needs, in the project, develop a correct product selection strategy, POC test strike strategy, bidding & bid strategies, product configuration strategy, etc., achieve contract signing, and continuously ensure the increase of Alibaba Cloud's market share with this customer. • Promote the incubation and replication of public cloud solutions in segmented fields. • Identify and deal with risks of the technology and project during the solution landing process on time, collaborate with the product and delivery teams for normal fulfillment, and achieve revenue conversion. • Accumulate knowledge documentation such as universal cloud architecture templates, best practices, and cases for the segmented fields/scenarios. • Provide presentations, evangelism, and empowerment training for sales teams and eco-partners. • Abstract and summarize product requirements and defects in segmented fields, promote product improvement, new product projects, and major functions launch, and enhance product competitiveness.
1、 针对蚂蚁国际海外金融业务发展需求,参与搭建和完善信贷风控模型体系,包括反欺诈、信用评分、客户画像、营销转化、资金预测等; 2、 和业务方沟通需求,针对项目中实际遇到的问题,提出具体可行的算法解决方案; 3、 深度挖掘平台内部数据、合作方数据、以及外部三方数据,通过特征工程提炼和完善风控特征池; 4、 负责信贷风控模型开发部署、应用支持、监控维护和升级迭代等工作; 5、 探索前沿模型算法,并在信贷风控领域进行实践和应用。
1、负责国际信贷业务的数据研发相关工作,运用数据技术,对信贷数据进行统计分析、风险评估和数据建模,以支持信贷决策和风险管理,沉淀信贷业务全链路的优质数据资产,配合风控、产品及技术团队,推动数据驱动的创新业务场景落地。 2、熟悉隐私安全法律法规,制定信贷数据领域的解决方案。规划业务大图和主要流程、针对复杂的业务问题能做提炼和拆解,帮助数据安全、合规、高效流转。
1. 搭建完善的理想汽车智能制造相关政策、体系、标准; 2. 从数据驱动的角度实现对自动化生产线的整体及局部设计、规划和优化,实现生产过程的高度自动化和智能化; 3. 运用人工智能和机器学习技术,实现生产设备的自我学习和自我优化,提高设备效率和质量; 4. 通过物联网技术,实现设备的实时监控和预测性维护,减少设备故障和停机时间; 5. 开发和应用先进的数据分析工具和模型,对生产数据进行深度挖掘和分析,为生产决策提供数据支持; 6. 与研发、生产、质量、采购、物流、企业系统等部门密切合作,协调内部资源,确保项目的顺利实施和效果达成; 7. 领导和培养团队,提高团队的专业技能和创新能力,形成强大的技术竞争力; 8. 追踪和研究全球智能制造的最新技术和发展趋势,引入适合公司的新技术和方法; 9. 与全球技术供应商进行合作,引入最先进的设备和解决方案,提升公司的技术水平和竞争力。
1. 掌握和跟踪大模型、开源、云计算、数据安全等方面的国内国际法律、政策、技术标准,结合业务实际产出具有洞察力的分析报告。 2. 识别并处理公司在研发或经营活动中的系统性风险,提出系统性解决建议和合规方案,组织协同产品团队、模型团队、工程团队、业务团队落实合规方案,保障公共云大模型服务、大模型应用、模型开源社区、开源模型等业务的合规。 3. 与主管机关的合作,包括但不限于算法备案、大模型备案、APP合规、算法检查、各类调研与问询等。 4. 大模型和公共云大模型服务的数据安全的全盘设计与实施,包括但不限于制度、机制、分类分级能力等的建设。 5. 建立国内重点智库、行业专家日常交流和合作机制,共同形成研究成果并对外施加影响。