蓄力敢为科技

•Proficient with Swift. Nice to be familiar to Objective - C •Experience with iOS frameworks such as Core Data , Core Animation , etc . •Good with protocol - oriented programming , object - oriented design , data structures , algorithm design , and problem solving , experience with offline storage , theading , and performance analysis and optimization •Familiarity with RESTful APIs to connect iOS applications to back - end services •Familiarity with Reacts •Understanding of Apple ' s design principles and interface guidelines •Familiarity with cloud message APls and push notifications •Knack for benchmarking and optimization 外企大平台，固定十三薪; 早九晚六、周末双休; 五险一金，商业保险(可惠及家人); 定期体检；节假日礼品卡; 年度涨薪;22天带薪假期(带薪年假10天起+带薪病假12天)

Role Description As a Senior App Developer, you will focus on technical solutions and delivery, need work with overseas teams to finalize end to end solution, and deliver the product to the Bank’s digital channel. You will understand the different technology silos within the Bank and how to interface with them. You will be part of the team that constantly analyze and improve the digital channel platform from a technical point of view as well as from user experience view. You’ll keep yourself updated with the latest software technologies and spread the knowledge to your team. Responsibilities • Translating product strategy and vision into product features and capabilities • Understand the different technology silos within the Bank and put the “solution jigsaw pieces” in place • Communicating and coordinating with different technology silos • Ability to bring new ideas and present them in clear, thoughtful manner • Evangelize the adoption of Agile development practices • Ensuring delivery of software into production, following the Bank’s delivery process guidelines • Collaboration with Product Management and Marketing Required Skills • Experienced on Jetpack Compose UI • Programming languages (Kotlin, HTML5, JS, CSS, ES5 ES6) • Front end framework (at least one of Ember, React, AngularJS) 至少一种框架经验、JavaScript 经验 • 注入框架：Koin • Familiar with Azure DevOps • Excellent in communicating and presenting technology topics • Solid skill with iOS or Android native App development • Experienced on H5 web responsive application (Hybrid Mobile App) development, system architecture, technical design and delivery. • Full software development lifecycle experience • TDD, BDD, performance and Security testing for mobile and web • Build automation tools (webpack, grunt, gulp ) • 2-8 years experience Desirable Skills • Agile and DevOps toolchain experience (JIRA, Bitbucket, Jenkins, Artifactory, Vx ) • Has GIT open source project • Experienced in deep linking, integration between Hybrid and Native App. • Prior experience in digital banking • Experience in App monitor, crash analysis and third part integration • Agile experience • Mobile Security (OWASP, JWT, Oauth2 …) 外企大平台，固定十三薪; 早九晚六、周末双休; 五险一金，商业保险(可惠及家人); 定期体检；节假日礼品卡; 年度涨薪;22天带薪假期(带薪年假10天起+带薪病假12天)。

Job Summary The AI Platform Engineer is responsible for designing, developing, and maintaining a hybrid AI platform across multi-cloud and on-premises environments. The platform should support real-time machine learning and Generative AI (GenAI) at scale, with a strong focus on governance and security. Key Responsibilities – Good knowledge of cloud and Databricks. Candidate should be able to set up, navigate Databricks features. Good knowledge of Azure and AWS and how they work with Databricks. Should have good knowledge of how Databricks works in AWS or Azure. Setting up Databricks knowledge must have. Databricks platform knowledge, Lakehouse in Databricks and Databricks Mosaic framework is a must have. Technical Competencies — should have • Cloud and on-prem platform management • AI platform implementation on physical servers • Infrastructure as code • Kubernetes orchestration • MLOps/LLMOps implementation • GPU-accelerated ML optimization Good to have – Knowledge of AI/ML models and how they work and the ML models lifecycle. 外企大平台，固定十三薪; 早九晚六、周末双休; 五险一金，商业保险(可惠及家人); 定期体检；节假日礼品卡; 年度涨薪;22天带薪假期(带薪年假10天起+带薪病假12天)。

Job Summary The AIOps Engineer is responsible for designing, developing, and maintaining a hybrid AI platform that supports real-time machine learning and Generative AI (GenAI) at scale. The role emphasizes automation, operational efficiency, and integration with observability and IT service management tools. ________________________________________ Key Responsibilities – Good in Databricks, fundamentals how to hist models as service, data ingestion, model training, training parameters, unity catalogue, hyperparameters for trainings, azure DevOps, model training, model risks and threats. Good in MLFlow, APIs in ml flow, triggers, life cycle of models and push for production, catalogue and track for registry. Also, understand on working in cloud infra. Databricks platform knowledge, Lakehouse in Databricks and Databricks Mosaic framework is a must have. Technical Competencies • Cloud and on-prem platform management • AI platform implementation on physical servers • Infrastructure as code • Kubernetes orchestration • MLOps/LLMOps implementation • GPU-accelerated ML optimization 外企大平台，固定十三薪; 早九晚六、周末双休; 五险一金，商业保险(可惠及家人); 定期体检；节假日礼品卡; 年度涨薪;22天带薪假期(带薪年假10天起+带薪病假12天)

职位描述 1. 负责公司战略级项目（如超吃卡、爆红包等）的技术架构规划和设计，并主导落地实施； 2. 主导技术难题攻关，持续提升核心系统在高并发、海量请求数下的高处理性能，保证系统的安全、稳定、快速运行； 3. 独立完成中小型项目的系统分析、设计，核心功能的设计与代码模板编写，开发与维护系统核心模块； 4. 理解业务，识别需求，参与架构、系统、分析设计等多领域项目的相关技术的实践、应用和研发，负责产品线系统的规划设计，制定产品线的技术发展计划； 5. 审核开发人员的系统设计和代码质量，书写技术文档和制定开发规范。 职位要求 1. 本科及以上学历，2-5年以上大规模分布式系统应用架构设计与研发经验，扎实的Java编程基础； 2. 2年以上大型数据库如mysql使用经验，精通unix/linux操作系统，对常用命令运用娴熟，能够根据实际需要快速编写shell脚本； 3. 具备良好的识别和设计通用框架及模块的能力，具备系统调优、性能调优等技能，对疑难技术问题具备较强的排查能力； 4. 对技术有激情，喜欢钻研，能快速接受和掌握新技术，有较强的独立、主动的学习能力，良好的沟通表达能力和团队协作能力； 5. 专注于技术、对业界的技术发展动态有比较密切的关注，同时对电子商务、O2O行业有较深刻的理解和敏感的触觉，能前瞻性提出行业技术解决方案； 6. 具有大型电子商务网站、O2O行业系统架构设计经验背景的优先。

岗位职责 1.负责搜索规模增长优化，从海量数据中提取相关特征，刻画用户搜索使用概率问题，负责导语排序模型、导语流量机制、端智能等方面的研究和实现。 2.负责算法驱动的业务拓展优化，包括但不限于零售行业增长、内容化兴趣激发、搜索全域渗透、趋势挖掘和分发、商业机制优化等。 3.参与LBS场景下极具挑战的算法研发工作，包括但不限于LLM在用户意图理解&导语生成&导语分发的深度应用、端云一体化的导购算法优化、生成式导语构建、LBS下的导搜算法系统等。 职位要求 1.机器学习、自然语言处理、数据挖掘至少一个领域有深入理解，有2年以上的实际研究或项目经验。 2.扎实的代码功底和工程开发能力，有较强的数据分析和解决实际问题的能力。 3.计算机、数学或者统计相关专业硕士及以上学历。 4.有良好的沟通能力，具备出色的规划、执行力，强烈的责任感，以及优秀的学习能力。 5.具有大型搜索、计算广告、推荐系统的算法研发经验优先。

职位描述 1. 供给定价算法 ◦ 负责本地外卖商品动态定价算法的设计与优化，结合运筹优化、因果推断、收益管理等方法，平衡供需关系与平台收益。 ◦ 基于用户行为、市场供需、竞争环境等数据，构建实时定价模型，提升定价精准度与用户体验。 ◦ 设计并迭代补贴策略（如货补、折扣），通过A/B测试验证效果，优化补贴效率。 2. 商品推荐算法 ◦ 研发个性化推荐系统，优化首页推荐、详情页推荐等场景的CTR/CVR指标，提升用户转化率。 ◦ 应用深度学习（如NN模型、LightGBM）、图神经网络等技术，挖掘用户兴趣与商品关联性。 ◦ 结合多模态技术（NLP/CV）优化商品标题、图文素材的匹配度，增强推荐理由的生成能力。 3. 选品机制算法 ◦ 构建选品核心能力（如销量/GMV预测、品类规划），通过机器学习与因果推断技术匹配场域调性需求。 ◦ 设计组合套餐（如“主食+饮品”）的选品策略，优化客单价与用户满意度。 ◦ 搭建公司级选品系统平台，推动算法在营销活动、超抢手、品团购等业务场景的落地。 职位要求 1. 基础能力 ◦ 计算机、数学、统计学等相关专业硕士及以上学历，3年以上算法相关经验。 ◦ 扎实的编程能力（Python/Java/C++），熟悉TensorFlow/PyTorch等框架及大数据处理技术（Hadoop/Spark）。 2. 技术方向 ◦ 定价方向：熟悉运筹优化、因果建模、经济学原理，有广告/营销补贴算法经验者优先。 ◦ 推荐方向：精通召回/排序算法（如深度排序模型、多目标建模），有推荐/广告系统实战经验。 ◦ 选品方向：掌握销量预估、弹性建模等技术，具备供应链或电商选品经验者优先。 3. 综合能力 ◦ 对业务敏感，能通过数据分析定位问题并驱动算法迭代。 ◦ 良好的跨团队协作能力，能与产品、运营高效沟通。 ◦ 在顶会（KDD、SIGIR等）发表相关论文或Kaggle/ACM竞赛获奖者加分。

职位描述 1. 负责公司营销算法，包括平台补贴定价、商家智能营销、店品价格机制、商流X物流联动等； 2. 负责用户全生命周期体验与成长，促进拉新和留存； 3. 参与营销创新性算法的研究及开发工作； 4. 协同业务进行跨团队合作。 职位要求 1. 计算机、运筹学、应用数学、统计学或相关专业，有算法领域的工作经验; 2. 熟悉机器学习/深度学习/数据挖掘/运筹优化中至少一个领域的原理与算法，并且能够熟练建模解决业务问题; 3. 在一个或多个营销子领域的常用模型和架构上有丰富的经验和深入的理解，包括但不限于： ⁃ 模型预估方向：熟悉常用机器学习算法，如FM、DeepFM、xGboost、DNN、GNN等，结合本地营销场景设计uplift model及因果推断模型 ⁃ 运筹决策方向：熟悉常用运筹优化算法，如线性规划、动态规划、整数规划、二次/随机规划等，熟悉最优化离线/在线求解理论 ⁃ 量价模型方向：熟悉常用选品定价算法，如商品知识图谱、量价模型、价格管控、价格与流量联动机制等 4. 具有优秀的分析和解决问题的能力; 5. 良好的团队合作精神和沟通能力。