数智未来 元生无界|大咖召集！快来查收Labs Team的最新动态！

产学研合作是创新驱动发展战略的关键环节。如果你希望在一个专业且快节奏的，具有创新精神和包容性的团队环境中发挥你的技能，普华永道信息技术Labs团队将是你的最佳选择。

岗位职责：

· 负责创新应用的模型/策略/算法体系结构设计，包括但不限于预测分析，自然语言处理等。

· 设计新流程并构建大型，复杂的数据库。

· 在云端和非云端进行可扩展的数据研究。

· 生成算法并创建计算机模型。

· 进行统计分析方案设计和模型开发，测试和验证预测模型。

· 构建Web原型并执行数据可视化。

岗位要求：

· 3年以上Python开发经验，熟悉大数据和数据分析。

· 计算机科学、数学、工程或相关专业优先。

· 精通Python(Pandas, Numpy, Scipy, CVXOPT)。

· 有线性优化项目经验。

· 有GCP项目经验。

· 掌握统计学和机器学习相关知识是加分项。

· 较强的英语书面和口头沟通能力。

Requirements：

· Responsible for the architecture design of models / strategies / algorithms for the innovative applications, including but not limited to predictive analysis, natural language processing etc.

· Design new processes and build up large, complex data sets.

· Conduct scalable data research on and off the cloud.

· Generate algorithms and creates computer models.

· Conduct statistical modeling and experiment design, tests and validates predictive models.

· Build web prototypes and performs data visualization. 

Requirements：

· At least three years of working experience in Python development, familiar with big data and data analysis.

· A major in computer science, mathematics, engineering, or relevant areas is prefered.

· Proficient programming in Python(Pandas, Numpy, Scipy, CVXOPT).

· Experience in Linear Optimization.

· Experience in GCP.

· Good knowledge in statistics and machine learning is a plus.

· Strong written/oral English communication skills in written and oral.

岗位要求：

· 学位要求：学士学位

· 专业要求：工程、统计学、数学、计算机科学、信息学、运筹学或其他定量学科。

· 年限经验：8年机器学习开发/机器学习运营经验。

优先考虑资格：

· 具有以下技术子集经验：

  - 编程。Python, R, Java, JavaScript, C++, Unix, NodeJS, Angular, HTML;

  - 8年以上的云计算工作经验，至少在其中之一，并了解其他AWS / Azure或GCP。

  - 在机器学习项目从无到有的端到端操作上有架构实施的工作经验。

  - MLOps经验，包括Linux和Windows命令行控制，脚本，源代码控制（如GitHub），容器（包括Docker，Kubernetes）和协调工具。

  - 有不同工具的经验，如无服务器功能、构建训练和推理管道的devops工具、监控或类似工具。

  - 数据存储技术。SQL、NoSQL、Hadoop、基于云的数据库，如GCP BigQuery，以及不同的存储格式（如Parquet等）。

  - 数据处理工具。Python（Numpy，Pandas等），Spark，基于云的解决方案，如GCP DataFlow。

  - 机器学习库。Python（scikit-learn，genism，等），TensorFlow，Keras，PyTorch，Spark MLlib。

· 证明有能力为给定的业务用例或应用创建端到端的技术原型和/或机器学习模型。

· 具有快速原型设计的经验，使用敏捷的方法快速测试新的想法和 "快速失败"。

· 证明有能力将业务框架应用于新兴技术解决方案，并以书面和口头形式与业务受众沟通。

· 表现出对新兴技术的兴趣，如人工智能、区块链、物联网、虚拟现实、增强现实和机器人技术。

· 有创新或实验室环境经验者优先。

· 优秀的沟通技巧。

Requirements:

· Minimum Degree Required: Bachelor Degree

· Required Fields of Study: Engineering, Statistics, Math, Computer Science, Informatics, Operations Research, or other quantitative disciplines.

· Minimum Years of Experience: 8 year(s) in Machine learning development / Machine learning Operations.

Preferred Qualifications:

· Experience with a subset of the following technologies:

  - Programming: Python, R, Java, JavaScript, C++, Unix, NodeJS, Angular, HTML;

  - 8+ years of working experience in Cloud provides on at least one of it and understanding on the others AWS / Azure or GCP;

  - Working experience of Architecture implementation on end to end operations of Machine learning projects from scratch;

  - MLOps experience including Linux and Windows command line control, scripting, source code control (such as GitHub),  containers (including Docker, Kubernetes) and orchestration tools;

  - Experience in different tools such as serverless functions, devops tools to build training and inference pipelines, Monitoring or similar;

  - Data Storage Technologies: SQL, NoSQL, Hadoop, cloud-based databases such as GCP BigQuery, and different storage formats (e.g. Parquet, etc.);

  - Data Processing Tools: Python (Numpy, Pandas, etc.), Spark, cloud-based solutions such as GCP DataFlow;

  - Machine Learning Libraries: Python (scikit-learn, genism, etc.), TensorFlow, Keras, PyTorch, Spark MLlib.

· Demonstrated ability to create end-to-end technology prototypes and/or machine learning models for a given business use case or application.

· Demonstrated experience with rapid prototyping, using agile approaches to quickly test new ideas and “fail fast”.

· Demonstrated ability to apply a business framing to emerging technology solutions and communicate to business audiences in written and verbal formats.

· Demonstrated interest in emerging technologies such as Artificial Intelligence, Blockchain, Internet of Things, Virtual Reality, Augmented Reality, and Robotics.

· Experience in innovation or lab environments is a plus.

· Excellent communication skills.

岗位要求：

· 学位要求：学士学位

· 专业要求：工程、统计学、数学、计算机科学、信息学、运筹学或其他定量学科。

· 年限经验：3年机器学习开发/机器学习运营经验。

优先考虑资格：

· 有数据管理经验，在Azure、AWS或GCP等云平台上部署和管理ML模型。

· 在云端部署机器学习模型，用于实时和批量推理的用例。

· 有设计、开发和部署基于现代深度学习架构的模型经验。

· 有构建可扩展机器学习系统的经验。

· 对容器和容器编排系统（Kubernetes / Docker）有良好的理解。

· 具有持续学习新技术并快速评估其技术和商业可行性的能力。

· 了解机器学习框架，如TensorFlow、PyTorch、Scikit Learn和算法，如随机森林、集合方法、深度神经网络、卷积神经网络等。

· 有建立机器学习模型和系统的经验，解释其输出，并沟通结果。

· 有能力为给定的业务用例或应用创建端到端的技术原型和/或机器学习模型。

Requirements:

· Minimum Degree Required: Bachelor Degree

· Required Fields of Study: Engineering, Statistics, Math, Computer Science, Informatics, Operations Research, or other quantitative disciplines.

· Minimum Years of Experience: 3 year(s) in Machine learning development / Machine learning Operations.

Preferred Qualifications:

· Experience in data management, deploying and managing ML models on cloud platforms like Azure, AWS or GCP.

· Deploying machine learning models in the cloud for real time and batch inference use cases.

· Experience in designing, developing and deploying models based on modern deep learning architecture.

· Experience with building scalable machine learning systems

· Good understanding of containers and container orchestration systems(Kubernetes / Docker).

· Demonstrated ability to continuously learn new technologies and quickly evaluate their technical and commercial viability.

· Understanding of machine learning frameworks such as TensorFlow, PyTorch, Scikit Learn and algorithms such as random forests, ensemble methods, deep neural networks, convolutional neural networks etc.

· Experience building machine learning models and systems, interpreting their output, and communicating the results. 

· Demonstrated ability to create end-to-end technology prototypes and/or machine learning models for a given business use case or application.

岗位要求：

· 学位要求：学士学位

· 专业要求：工程、统计学、数学、计算机科学、信息学、运筹学或其他定量学科。

优先考虑资格：

· 具有以下技术子集经验：

   - 编程：Python, R, Java, JavaScript, C++, C#, NodeJS, Angular, HTML。

   - 有使用Unity和/或虚幻引擎构建AR和VR体验的经验。 

   - 与大型团队合作，构建大型且复杂的项目。侧重于集成和云的应用架构亦可。

优先考虑技能：

· 有以下行业的工作经验：

  - 游戏、AR/VR/XR软件开发、学习与发展、教育、企业培训、电影/电视制作等行业的经验是非常可取的。有使用Azure或AWS配置Unity Build Pipelines进行CI/CD的经验。

  - 有PlasticSCM或类似的工作经验，GIT，GITHub，Omniverse，Cognitive 3D，Immerse，或PixoVR经验。

  - 2年以上的云计算工作经验，至少在其中一个方面有工作经验，并了解其他的AWS / Azure或GCP。

  - 数据存储技术。SQL、NoSQL、Hadoop、基于云的数据库，如GCP BigQuery，以及不同的存储格式（如Parquet等）。

  - 数据处理工具。Python（Numpy，Pandas等），Spark，基于云的解决方案，如GCP DataFlow。

- 机器学习库。Python（scikit-learn，genism等），TensorFlow，Keras，PyTorch，Spark MLlib。

  - 计算机图形和游戏引擎。OpenGL, WebGL, Unity, Unreal Engine.

· 有能力为给定的商业用例或应用创建端到端的技术原型和/或机器学习模型。

· 具有快速原型设计的经验，使用敏捷方法快速测试新想法和 "快速失败"。

· 证明有能力将业务框架应用于新兴技术解决方案，并以书面和口头形式与业务受众沟通。

· 表现出对新兴技术的兴趣，如人工智能、区块链、物联网、虚拟现实、增强现实和机器人技术。

· 有创新或实验室环境经验者优先。

· 优秀的沟通技巧。

Requirements:

· Minimum Degree Required: Bachelor Degree

· Required Fields of Study: Engineering, Statistics, Math, Computer Science, Informatics, Operations Research, or other quantitative disciplines.

Preferred Qualifications:

· Experience with a subset of the following technologies:

- Programming: Python, R, Java, JavaScript, C++, C#, NodeJS, Angular, HTML.

- Experience building AR and VR experiences using Unity and/or Unreal Engine.  

- The ideal candidate will have worked with larger teams building large and complex projects. Application architecture with a focus on integration and the cloud is also highly desirable.

Preferred Skills:

· Experience working in one of the following industries: Gaming, AR/VR/XR software development, Learning & Development, Education, Corporate Training, Movie/TV Production is highly desirable. Experience configuring Unity Build Pipelines with Azure or AWS for CI/CD.

· Experience working with PlasticSCM or similar, GIT, GITHub, Omniverse, Cognitive 3D, Immerse, and/or PixoVR are all positives.

· 2+ years of working experience in Cloud provides on at least one of it and understanding on the others AWS / Azure or GCP;

· Data Storage Technologies: SQL, NoSQL, Hadoop, cloud-based databases such as GCP BigQuery, and different storage formats (e.g. Parquet, etc.);

· Data Processing Tools: Python (Numpy, Pandas, etc.), Spark, cloud-based solutions such as GCP DataFlow;

· Machine Learning Libraries: Python (scikit-learn, genism, etc.), TensorFlow, Keras, PyTorch, Spark MLlib;

· Computer graphics and game engines: OpenGL, WebGL, Unity, Unreal Engine.

· Demonstrated ability to create end-to-end technology prototypes and/or machine learning models for a given business use case or application.

· Demonstrated experience with rapid prototyping, using agile approaches to quickly test new ideas and “fail fast”.

· Demonstrated ability to apply a business framing to emerging technology solutions and communicate to business audiences in written and verbal formats.

· Demonstrated interest in emerging technologies such as Artificial Intelligence, Blockchain, Internet of Things, Virtual Reality, Augmented Reality, and Robotics.

· Experience in innovation or lab environments is a plus.

· Excellent communication skills.

岗位要求：

· 3年以上的网络开发经验。

· 学位要求：工程、计算机科学或相关领域的学士学位。

优先考虑资格：

· 精通HTML5、CSS3、JavaScript，熟悉最新的前端技术。

· 在使用React和Node.js开发单页应用程序方面有良好的经验。

· 响应式设计和CSS框架，如Material2、Ant Design和Twitter Bootstrap。

· ES6，TypeScript语法。

· 查询语言，如GraphQL。

· Linux容器Docker。

· 熟悉开发环境，包括Node.js，CSS预处理器SCSS/LESS，以及版本控制系统Git。

优先考虑技能：

· 软件应用程序建设，包括适当的编码标准、单元测试、集成测试和部署脚本。

· 将UI/UX提供的设计和风格指南翻译成功能性用户界面，确保跨浏览器的兼容性和性能。

· 在团队环境中参与软件开发解决方案。

· 有能力在一个快节奏和敏捷的开发环境中工作。

· 自我激励和独立工作的能力。

Requirements：

· Minimum Year(s) of Experience: Above 3years’ experience in web development.

· Minimum Degree Required: Bachelor's degree in Engineering, Computer Science or related field.

Knowledge Preferred: 

· Expertise in HTML5, CSS3, JavaScript, and familiar with the latest front-end technologies;

· Good experiences in developing single page applications with React;

· Responsive design and CSS frameworks, such as Material2, Ant Design and Twitter Bootstrap; 

· ES6, TypeScript syntax; 

· Query language such as GraphQL; 

· Linux container Docker; 

· Comfortable with a development environment that includes Node.js, CSS preprocessors SCSS/LESS, and version control systems Git.

Skills Preferred:

· Software applications building including appropriate coding standards, unit tests, integration tests and deployment scripts; 

· Translation of designs and style guides provided by UI/UX  into functional user interfaces, ensuring cross browser compatibility and performance;

· Participate in software development solutions within a team environment;

· Ability to work in a fast-paced and agile development environment; 

· Self-motivation and ability to work independently.

岗位要求：

最低年限经验：

· 在软件产品或IT咨询方面有15年以上的经验。

· 在区块链、加密货币和web3领域有3年以上的经验。

最低学位要求：

· 计算机科学或金融/银行学的学士学位。

工作职责：

· 作为我们的Web 3产品和业务发展团队的主题专家，精通我们的平台能力和多种技术栈和不同的行业垂直。

· 分析复杂的基于区块链的金融产品和集成，从技术和商业角度提出一系列有意义的建议和以客户为中心的解决方案。

· 支持业务发展团队对整合新的和现有的合作伙伴所需的工作进行范围、设计和规划，包括与潜在客户的交谈/会面。

优先考虑技能：

· 在将区块链技术整合到现实世界的商业用例中的丰富经验，包括加密货币审计、支付、贸易融资、供应链、数字货币、可持续性/ESG等。

· 对当今的现代区块链平台如以太坊、Solana等有很深的了解。

· 深入了解DeFi等加密资产商业模式的方式。

· 对虚拟资产的监管机构政策有更广泛的了解。

· 有金融科技、金融产品和支付处理方面的经验为佳。

· 有核心银行架构经验者优先。

· 优秀的分析能力，能够理解复杂的业务问题，并在定量和定性分析的基础上转化为解决方案。

· 有能力与产品、工程、项目管理、运营和其他利益相关者合作，成功推出和维护复杂的产品或解决方案。

· 优秀的口头、书面和演讲沟通能力，能与各种商业和技术受众、个人贡献者和领导层进行沟通。

· 利用协作技术有效地远程工作和与远程团队合作。

Requirements：

Minimum Year(s) of Experience:

· 15+ years of experience in software product or IT consulting.

·  3+ years of experience in blockchain, crypto and web3 space.

Minimum Degree Required:

· Bachelor degree in computer science or  finance/banking.

Responsibilities:

· Act as a Subject Matter Expert to our Web 3 Product and Business Development teams versed on our Platform capabilities and multiple technology stacks and diverse industry verticals.

· Analyze complex blockchain based financial products and integrations and propose a range of meaningful recommendations and customer-centric solutions from both technology and business angles.

· Support business development teams to scope, design and plan work needed to integrate new and existing partners including speaking/meeting with prospective clients. 

 Preferred Knowledge:

· Solid experience of integrating blockchain technology into real world business use cases including crypto audit, payment, trade financing, supply chain, digital currency, sustainability/ESG etc.

· Strong knowledge of today’s modern blockchain platform like ethereum, Solana, etc.

· Deep Understanding of how crypto asset business models like DeFi.

· Broader knowledge about the regulator policy of virtual assets.

· Experience in FinTech, Financial Products and Payment Processing is a plus.

· Experience in Core Banking architecture is a plus.

· Excellent analytical skills, ability to understand complex business issues and translate to solutions based on both quantitative and qualitative analysis.

· Proven ability to Partner with Product, Engineering, Program Management, Operations and other stakeholders to successfully launch and maintain complex products or solutions.

· Excellent communication skills in verbal, written, and presentation settings with a range of audiences both business and technical, individual contributor and leadership.

Work effectively remotely and with remote teams using collaboration technology.

岗位要求：

最低学位要求：

· 学士学位

所需的研究领域：

· 工程、统计学、数学、计算机科学、信息学、运筹学或其他定量学科。

优先考虑资格：

· 具备以下技术子集的经验：

- 编程：Python, R, Java, JavaScript, C++, Unix, NodeJS, Angular, HTML;

- 具备2年以上的云计算工作经验，至少对其中一项有了解，对其他AWS/Azure或GCP有了解

- 架构实施的工作经验，对机器学习项目的端到端操作从无到有。

- MLOps经验，包括Linux和Windows命令行控制，脚本，源代码控制（如GitHub），容器（包括Docker，Kubernetes）和协调工具

- 量子计算：有开发和/或部署基于量子计算平台的优化解决方案的经验，如D-Wave，或使用量子密码学开发网络安全解决方案的经验

- 在不同工具方面的经验，如无服务器功能、构建训练和推理管道的devops工具、监控或类似工具

- 数据存储技术。SQL、NoSQL、Hadoop、基于云的数据库，如GCP BigQuery，以及不同的存储格式（如Parquet等）。

- 数据处理工具。Python（Numpy、Pandas等）、Spark、基于云的解决方案，如GCP DataFlow。

- 机器学习库。Python（scikit-learn、genism等）、TensorFlow、Keras、PyTorch、Spark MLlib。

· 证明有能力为给定的业务用例或应用创建端到端的技术原型和/或机器学习模型。

· 具有快速原型设计的经验，使用敏捷方法快速测试新想法和 "快速失败"。

· 证明有能力将业务框架应用于新兴技术解决方案，并以书面和口头形式与业务受众沟通。

· 表现出对新兴技术的兴趣，如人工智能、区块链、物联网、虚拟现实、增强现实和机器人技术。

· 有创新或实验室环境经验者优先。

· 优秀的沟通技巧。

Requirements：

· Minimum Degree Required: Bachelor Degree

· Required Fields of Study: Engineering, Statistics, Math, Computer Science, Informatics, Operations Research, or other quantitative disciplines.

Preferred Qualifications:

- Experience with a subset of the following technologies:

Programming: Python, R, Java, JavaScript, C++, Unix, NodeJS, Angular, HTML;

- 2+ years of working experience in Cloud provides on at least one of it and understanding on the others AWS / Azure or GCP

- Working experience of Architecture implementation on end to end operations of Machine learning projects from scratch

- MLOps experience including Linux and Windows command line control, scripting, source code control (such as GitHub),  containers (including Docker, Kubernetes) and orchestration tools

- Quantum Computing : Experience with developing and/or deploying optimization solutions based on Quantum Computing platforms such as D-Wave, or with developing cybersecurity solutions using quantum cryptography

- Experience in different tools such as serverless functions, devops tools to build training and inference pipelines, Monitoring or similar

- Data Storage Technologies: SQL, NoSQL, Hadoop, cloud-based databases such as GCP BigQuery, and different storage formats (e.g. Parquet, etc.);

- Data Processing Tools: Python (Numpy, Pandas, etc.), Spark, cloud-based solutions such as GCP DataFlow;

- Machine Learning Libraries: Python (scikit-learn, genism, etc.), TensorFlow, Keras, PyTorch, Spark MLlib;

· Demonstrated ability to create end-to-end technology prototypes and/or machine learning models for a given business use case or application.

· Demonstrated experience with rapid prototyping, using agile approaches to quickly test new ideas and “fail fast”.

· Demonstrated ability to apply a business framing to emerging technology solutions and communicate to business audiences in written and verbal formats.

· Demonstrated interest in emerging technologies such as Artificial Intelligence, Blockchain, Internet of Things, Virtual Reality, Augmented Reality, and Robotics.

· Experience in innovation or lab environments is a plus.

· Excellent communication skills.