阿里巴巴Robust Bid Optimizaion via Active Environment Modeling in RTB
任职要求
【必备项】 1、本科级以上学历，计算机等相关专业； 2、熟悉常用机器学习算法，对模式识别、深度学习、增强学习等相关领域，极佳的工程实现能力，精通C/C++、Java、Python等至少一门编程语言； 3、有数理分析方面良好的素养以及数理统计基础；有良好的数据敏感能力、较强的逻辑分析能力； 4、有较强的学习能力，对新事物保有好奇心，并能快速适应新环境； 5…
工作职责
在这里，你将参与机器学习、深度学习领域的技术研发工作，包括但不限于神经元网络模型设计与优化、强化学习、迁移学习、主动学习、维度降低、核方法、谱方法、特征提取与稀疏学习、等级学习、推荐、随机优化等的算法和系统研发等； 在这里，你将进行机器学习尤其是深度学习前沿问题的探索与研究，结合未来实际应用场景，提供全面的技术解决方案； 在这里，你将有机会负责提供分布式的算法实现的解决方案，大幅提升算法计算规模和性能； 在这里，你将参与提供大数据分析建模方案，沉淀行业解决方案，协助拓展业务边界。 加入我们，共同专注于大数据之上的机器学习算法研究与应用。将对人工智能的极大热情投入到挑战各种实际应用难题中。来吧，我们等你加入！
Conduct robust competitor benchmarking to surface best practices and pinpoint flight content optimization opportunities.Monitor and investigate anomalies in market sales performance, serving as the go-to problem solver for flight content-related challenges.Collaborate cross-functionally with internal and external stakeholders to align insights and initiatives with business goals.Produce and present deep-dive reports, executive-ready presentations, and actionable recommendations to airline teams and management level.Contribute to data tools tailored to the needs of portfolio management from headquarter level, empowering more informed decision-making.Spearhead initiatives to automate repetitive manual analyses and streamline workflows with systematic solution, enhancing overall team efficiency and impact.
• Relationship Cultivation: Cultivate robust, long-term relationships with our FI clients, comprising e-wallets, commercial banks, and other financial entities. Grasp their distinct business needs, challenges, and objectives within the payment, marketing and user growth solutions landscape • Multi-Solution Growth Strategy: Collaborate with BD team to discern upsell and cross-sell prospects within existing FI client accounts. Conduct meticulous analysis of client portfolios to proactively identify growth potential and devise bespoke solutions across payment and marketing domains • Innovation and Solution Presentation: Craft and deliver captivating presentations, product demonstrations, and proposals to FI clients, showcasing the extraordinary value and benefits of our integrated payment and marketing solutions • Tailored Needs Assessment: Conduct comprehensive needs assessments for each FI client, delving into their unique payment processing requisites, marketing objectives, compliance imperatives, and technological preferences • Collaborative Contract Negotiation: Lead purposeful and collaborative contract negotiations with FI clients, forging mutually beneficial terms while upholding industry regulations and best practices. • Elevated Customer Support: Provide elite customer support to FI clients, formulating regular reviews, catering to inquiries, troubleshooting complexities, and ensuring complete satisfaction • Industry Insight and Expertise: Stay at the forefront of payment and marketing industry developments, encompassing cutting-edge technologies, regulatory transformations, and competitor dynamics. Leverage your expertise to offer strategic advice to FI clients • Revenue Forecasting Excellence: Engage in astute monitoring and analysing account performance, payment processing volumes, marketing campaign effectiveness, and revenue trends for each FI client. Deliver regular updates and precise revenue forecasts to the management team • Solution-Focused Issue Resolution: Collaborate seamlessly with internal teams, such as Product team, Tech team, etc., to proactively address and resolve any client concerns or technical intricacies • CRM Empowerment: Harness the power of our CRM system to maintain meticulous records of all client interactions, sales endeavours, and progress, empowering data-driven decision-making
• Craft and develop robust inferencing software that can be scaled to multiple platforms for functionality and performance • Performance analysis, optimization and tuning • Closely follow academic developments in the field of artificial intelligence and feature update TensorRT-LLM • Provide feedback into the architecture and hardware design and development • Collaborate across the company to guide the direction of machine learning inferencing, working with software, research and product teams • Publish key results in scientific conferences
• Craft and develop robust inferencing software that can be scaled to multiple platforms for functionality and performance • Performance analysis, optimization and tuning • Closely follow academic developments in the field of artificial intelligence and feature update TensorRT • Provide feedback into the architecture and hardware design and development • Collaborate across the company to guide the direction of machine learning inferencing, working with software, research and product teams • Publish key results in scientific conferences