Cake Job Search

【關於 Pinkoi Data Squad】我們是 Pinkoi 的資料團隊，其目標為打造有效的數據平台，同時確保資料的品質與穩定性，讓資料在 Pinkoi 發揮最大的價值。Data Engineer 將與 Business Analyst／ML Engineer 緊密合作，透過數據探索問題、規劃後續的 Data Pipeline（資料管線） 實作，並提供 End-to-end 的 Data Solution，以擴展公司各部門的數據分析能力，並完善整體商業智慧系統。你需要負責的工作內容與產品、行銷、廣告等分析師與商業團隊合作，理解需求並規劃合適的 Data Pipeline。設計、實作與維護 ETL/ELT 流程，確保資料品質、穩定性與新鮮度。建立與優化資料模型，支援報表、分析與機器學習等多種場景。持續迭代並優化資料基礎建設，提升可擴展性與維運效率。建立監控與告警機制，確保 Pipeline 成功率與資料 SLA。我們希望你有的經驗跟特質對 Big Data 和 Data-driven engineering 有極大的熱情。瞭解 ETL 或 ELT 的流程，並具備 Data Modeling 跟開發 Data Pipeline 的能力。具備與產品 / 行銷團隊合作的經驗，並可與商業分析師、資料工程師，以及機器學習工程師協同合作。樂於學習最新的技術，隨時充實自我的專業技能。對大型語言模型（LLM）保持開放與好奇，願意學習並嘗試將其應用於資料工程工作（如：資料清理、欄位補全、文件生成、自動化測試），以探索新工具如何提升效率與使用者體驗。應徵條件數學 / 統計 / 資訊 / 資料科學相關科系畢業，或具備同等專業能力。一年以上數據分析或數據工程相關工作經驗。熟悉 Python、Scala、Java 等任何一種程式語言，Pinkoi 主要用 Python。熟悉 GNU/Linux 系統，Pinkoi 用 Ubuntu。熟悉關聯式資料庫的運用，例如 MySQL。加分條件熟悉廣告歸因邏輯，或具備相關數據處理經驗。具備使用者行為數據處理經驗。具有操作或架設 BI 工具的相關經驗。如 Superset、Tableau、Looker Studio，Pinkoi 使用 Superset 和 Redash。具有分散式運算的相關知識，例如 Spark、Hadoop、Hive 等一種或多種相關技術，Pinkoi 主要用 PySpark。熟悉雲端服務，例如 AWS Athena、S3、Glue，GCP BigQuery 等，Pinkoi 主要用 AWS。了解 dbt 的基礎架構和應用方式，如建立資料模型、撰寫測試、建立巨集等等。有將 LLM 應用於資料工程場景的經驗，例如規則抽取、欄位對齊與補全、文件／Data Catalog 生成、資料品質檢查等。＃不用想了，趕快來當個 Pinkoi 人如果你有信心能夠勝任這份工作，歡迎提供你的個人履歷與小作業，即刻應徵！

Company Description Bosch first started in Vietnam with a representative office in 1994. Bosch has its main office in Ho Chi Minh City, with branch offices in Hanoi and Da Nang, and a Powertrain Solutions plant in the Dong Nai province to manufacture pushbelt for continuously variable transmissions (CVT) in automobiles. In addition, Bosch operates a software and engineering RD center (Robert Bosch Engineering and Business Solutions Vietnam Co., Ltd). In July 2014, Bosch set up a new Automotive RD Center, located in Ho Chi Minh City. The continuous growth of this Centre is in line with Bosch’s strategy in Vietnam, which aims at becoming a manufacturing and RD hub in the Southeast Asian region. Currently four products are available: connectors, pushbelt, fuel supply, and diagnosis module (tank leakage). For further information, please visit our website: www.bosch.com.vn Job Description Designing and implementing data pipelines from multiple sources using Azure Databricks or Hadoop ecosystemDeveloping scalable and re-usable frameworks for ingesting of data setsIntegrating end to end data pipeline - to take data from source systems to target data repositories ensuring quality and consistency of data is maintained at all timesWorking with event based / streaming / scheduling technologies to ingest and process dataWrite python script to process data according to the needs from other engineersBuild dashboard using PowerBI or Tableau to fulfill the need from end usersEvaluating the performance and applicability of multiple tools for the automated data pipelineInvolve in application development using low-code platforms such as PowerApps and Outsystems.Involve in AI solution development in the organization focus on building python script for data processing

Distributed Computing Infrastructure Designer(ACE DE VCP infra designer vacancy)IntroASML is one of the world’s leading manufacturers of semiconductor-chip-making equipment. A majority of the world’s microchips receive their critical lithographic patterning in machines made by ASML. In addition ASML produces metrology tools and advanced applications to analyze and optimizethe performance of the customer production process.Sector and department information:Within ASML, the sector Development and Engineering (DE) is responsible for the specification, design, integration, qualification, and sustaining of all ASML products. Taking advantage of customer and manufacturing proximity, the DE Applications of the ASML Center of Excellence (ACE) is located in Linkou, TaiwanPosition in the Organization:The holder of the position reports to the Manager of ACE DE in BL AppsJob Mission:Participate in the development of our distributed data and compute platform infrastructure (on premise cloud solution). Be accurate, be precise and own the specification, design and implementation of features and fixes. Onboard, integrate and configure open source or other packages that support the development of semiconductor process tuning applications on the ASML platform.Take initiatives in reducing manual actions for install upgrade, resolve structural stability issues and design automated tests suites to qualify both design and system setup on customer site. Investigate solve issues, identify root cause, containment, corrective and preventive actions, and work with customer teams to support TSMC, Micron, Samsung, China and many others.Geographical Workplace: ACE (ASML Taiwan, Linkou). Travel to the customer sites or the development headquarters (HQ) in the Netherlands for on-the-job training may be needed as part of the assignmentJob Description:You will be working in the virtual compute platform (VCP) and ensure the platform can host analytics applications with the uptime expectation of 4 nine’s (99.99%) in the semiconductor factories of our customers.The platform is currently developed based on Kubernetes and DC/OS and migration from DC/OS to Kubernetes is in-progress. We develop the platform aspects in our team. Scheduling of resources, containerization, fail-over and data collection from scanner and measurement devices inside the fab.Installations and upgrades are automated with Ansible and Python. Other technologies you may encounter are Spark for data processing, Kafka for notifications and high volume data ingestion. Hadoop and HBASE are used for data storage.Responsibilities of this role:Develop and deliver new, key features that have high customer impact and help improve the operation efficiency of customer teams (a.k.a. CS/MO)Support VCP go-lives and complex activities at customers such as DE on-site / on-duty, escalation handling and containment creationBridge DE teams in Netherlands and customer teams in the field to speed up issue handling and solve field issues directly in AsiaJoin VCP system qualification to fill customer IT gaps in system test and test automation to increase platform reliability and system resilienceEducational Level:A relevant BSc or MSc in the area of software engineering, computer science, information systems, IT or MISProfile:Solid experience with Kubernetes, Python and AnsibleExperience with automatic testing and qualification, if can be part of CI/CD pipelineAffinity to dig deep into the details of issues, e.g. container orchestration, networking, configurationLinux expertise, administrator, extensive experience troubleshooting complex Linux issuesNetworking expertise, understand TCP/IP protocol, troubleshoot firewall config issues, etc.Understands RHEV and Virtual MachinesExperience with the following technologies is plus: event messaging, security, storage solutions (e.g., Hadoop), alert monitoring solutions and cloud technology (Azure, AWS or GCP)Personal Skills:Enjoy working with people and willingly face the challenges that come with human interactionsCollaborate behaviors: plan and align, manage stakeholders, adapt to changes, and drive for resultsAccountable and able to communicate professionally with SW/non-SW colleagues worldwideCustomer values and quality oriented. You strive to find the best ways or solutions for top resultsProblem solving. Proven ability to work independently in a team setting and a multi-site environmentPersonal values: taking initiative, growth mindset, continuous improvement and agile developmentFluent spoken and written English or willing to learn/developInclusion and diversityASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.Need to know more about applying for a job at ASML? Read our frequently asked questions.

Minimum qualifications: Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. 8 years of experience in technical consulting or project/program management in corporate IT, professional IT services, or product development. 8 years of experience in coding with one or more programming languages (e.g., Java, C/C++, Python). Experience in data retrieval, data engineering, data mining, and machine learning. Experience in managing external customers or stakeholders. Preferred qualifications: Experience in working with recommendation engines, data pipelines, and distributed machine learning. Knowledge of the auxiliary practical concerns in production Machine Learning (ML) systems. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, Extract, Transform, and Load/Extract, Load and Transform (ETL/ELT), and reporting/investigative tools and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume). Excellent organizational, investigative, and collaboration skills. About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Work with customers to identify opportunities to apply machine learning in their business. Design and implement machine learning solutions for customer use cases, leverage core Google products including TensorFlow, DataFlow, and Artificial Intelligence (AI) Platform. Manage and grow a team of consultants and engineers. Work with customer technical leads, client executives, and partners to manage and deliver implementations of cloud solutions becoming a trusted advisor to decision-makers throughout the engagement. Interact with business, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines for client outcomes. Work non-standard hours as needed. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google welcomes people with disabilities.Minimum qualifications: Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience. 5 years of experience managing projects, delivering technical solutions/architecture, and developing and maintaining technical solutions in visualized environments. Experience in data systems design or explaining data systems interactions, data processing and analytics, common interface APIs. Ability to communicate in Mandarin and English fluently to support clients in this region. Preferred qualifications: MBA or Master's degree in Computer Science or a related engineering field. 7 years of experience in technical client services. Experience with reading software code in one or more languages such as Java, JavaScript, Python. Experience in designing, deploying and migrating large scale distributed data processing and analytics systems with one or more technologies such as Oracle, SQL Server, MySQL, PostgreSQL, MongoDB, Redis, Hadoop, Spark, Teradata, Looker, Tableau, or MicroStrategy. Experience in database, enterprise data warehouse and data lake deployment and migration in cloud data and analytics platforms. Knowledge of AI/ML, Gen AI, Agentic AI. About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. In this role, you will provide management, consulting, and technical capabilities to customer engagements while working with customer executives and technical leaders to deploy solutions via Google Cloud Platform. You possess a background with cloud solutions in areas such as data and analytics architecture design, infrastructure and AI fundamentals, and migration and deployment planning. You will also work with partners, serving accounts to manage programs, deliver consulting services, and provide technical guidance and best practice expertise. You will travel approximately 30% of the time for customer engagements.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Work with customer technical leads, client executives, and partners to manage and deliver implementations of cloud solutions, becoming a trusted advisor to plan throughout the engagement. Work with internal specialists, Product, and Engineering teams to package best practices and lessons learned into thought leadership, methodologies, and published assets. Interact with Sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines for client outcomes. Advocate for customer needs in order to overcome adoption blockers and drive new feature development. Propose solution architectures and manage the deployment of cloud-based distributed virtualized infrastructure solutions, according to customer requirements and implementation of practices. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience with one or more general purpose programming languages, including Java, C/C++ or Python. 3 years of experience with software design and architecture. 3 years of experience with open source or developer technologies. Experience in software development and engineering, incorporating design methodologies, leveraging open source technologies, and working with distributed computing systems, including Apache Spark, Apache Hadoop, and Apache Hive, with performance. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures/algorithms. 3 years of experience in a technical leadership role leading project teams and setting technical direction. Experience in query processing and database internals. Experience with big data technologies. Ability to work effectively across teams in a distributed environment. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Lead development of next-generation features, positioning Cloud Dataproc as the preferred platform for Spark, Flink, Trino, and emerging cloud technologies. Define the roadmap for enhancing open-source technologies like Spark, Hive, Trino, Iceberg, Hudi, and Delta into Dataproc. Establish benchmarks to identify and resolve performance bottlenecks, ensuring large-scale Spark job certification. Enhance the performance and efficiency of open-source technologies within the platform. Drive the design and implementation of Data Lakes and Lake Houses, including Apache Iceberg and Hudi. Develop and implement software solutions leveraging Google technologies for accelerated cluster setup, streamlined operations, and comprehensive monitoring. Collaborate with Google Cloud Platform (GCP) infrastructure teams to bring the latest GCP features to Dataproc users. Position Cloud Dataproc as the optimal choice for data science, ML and AI workloads. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. Preferred qualifications: Experience working with data science tools such as Jupyter notebooks, Open Telemetry, JMX and other monitoring solutions. Experience with Database optimizations - query and executor optimizations and Data lakes like Apache Iceberg, Apache Hudi, Delta lake, etc. Skills developing highly scalable Cloud or SaaS products. Deep expertise with OSS projects like Spark, Hive, Trino and in benchmarking and building custom benchmarks. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Join the Google Cloud Dataproc team and become a pioneer in the next generation of data processing, combining the best of open source with Google's planetary-scale innovation. We're not just managing Apache Spark and Hadoop clusters; we're fundamentally accelerating big data. For engineers passionate about the future of data, you'll be building an AI/ML-ready platform, leveraging native GPU support and specialized runtimes pre-packaged with PyTorch, TensorFlow, and RAPIDS, tightly integrated with Vertex AI for end-to-end MLOps. This is where you architect the unified, open lakehouse of tomorrow, seamlessly connecting with formats like Apache Iceberg, Delta, Hudi and providing enterprise-grade security and scale that empowers the world's most demanding data scientists and engineers.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Lead the development of next-generation features, positioning Cloud Dataproc as the preferred platform for Spark, Flink, Trino, and emerging cloud technologies. Define the roadmap for enhancing open-source technologies like Spark, Hive, Trino, Iceberg, Hudi, and Delta into Dataproc. Drive the design and implementation of cutting-edge Data Lakes and Lake Houses, including Apache Iceberg and Hudi along with ehnancing the performance and efficiency of open-source technologies within the platform. Develop and implement software solutions leveraging Google technologies for accelerated cluster setup, streamlined operations, and comprehensive monitoring. Establish benchmarks to identify and resolve performance bottlenecks, ensuring large-scale Spark job certification. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google welcomes people with disabilities.Minimum qualifications: Bachelor’s degree in Computer Science, Mathematics, Machine Learning, or equivalent practical experience. 6 years of experience building ML models for different use cases (e.g., tabular data, images, video, speech, unstructured text), and building production ML models with TensorFlow, Keras, PyTorch, JAX, Spark ML, or Scikit Learn. 2 years of experience coding in one or more of the following languages: C, C++, Java, or Python. Experience working in a cloud environment (e.g. Google Cloud or similar). Ability to communicate in Japanese and English fluently to interact with internal and external stakeholders. Preferred qualifications: Master's degree or PhD in Computer Science, Mathematics, or other quantitative field, including ML related work. Experience working in a fast-moving technology area, while being comfortable working in a dynamic and ambiguous environment. Experience conducting data and ML technical training or in client-facing technical consulting role. Experience taking on new materials and delivering them to clients/students, with a passion for learning and continued self-development. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, Extract, Transform, and Load/Extract, Load and Transform and reporting/analytic tools and environments (e.g., Apache Beam, Hadoop, Spark, Hive). About the job As a Machine Learning Solutions Engineer, you will be focused on delivering, creating, and maintaining Machine Learning and Generative AI content for ASL participants. You will be working side by side with our customers, helping them apply AI and Machine Learning to their specific business use cases. You will be leading the ‘day to day’ experience for participants of the Advanced Solutions Lab. Therefore you will always be working to improve the offering, including recommendations on curriculum enhancements, identifying and engaging Google Machine Learning (ML) experts to support various sessions in the program, or making recommendations on open-sourced models, frameworks, and toolkits.In addition to your work in the Advanced Solutions Lab, you will also be a member of the wider Google AI and machine learning community. You will collaborate with other AI experts from across Google, work on research and engineering projects, or on customer engagements that deliver impact on the world.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Own the success of each ML Advanced Solutions Lab experience by delivering excellent content, identifying ML experts across Google to support specific sessions and providing ongoing curriculum enhancements. Lead and support customers' AI/ML projects from project framing to implementation in the Advanced Solutions Lab. Design AI/ML curriculum by understanding market and customers’ needs, and develop materials collaborating with the team and AI/ML experts across Google. Stay informed of developments in AI/ML and network across the Google Cloud ML research community, to provide ASL participants with knowledge and opportunities for interactive engagements with other Google ML experts. Act as an AI/ML SME within the Google Cloud Consulting team and support other ML activities as they arise. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

This role requires you to work in a shift pattern or non-standard work hours as required. This may include weekend work.Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience. 6 years of experience with two or more of the following: Web Tech, Data/Big Data, Systems Admin, Machine Learning, Networking, Kubernetes, Oracle, SAP. Experience designing cloud enterprise solutions and supporting customer projects to completion. Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design. Experience in customer advocacy. Preferred qualifications: Experience with Linux/Unix or other operating systems (e.g., Kernel to Shell, file systems, client-server protocols).Experience in administering and querying data in distributed or investigative oriented databases or distributed data processing frameworks.Experience with open source distributed storage and processing utilities in the Apache Hadoop family or workflow orchestration products.Experience in data analytics, warehousing, ETL development, data science or other Big Data applications.Knowledge in Web application development/deployment, HTTP/RESTful Application Programming Interface (API) troubleshooting, or database design/troubleshooting.Knowledge of Networking fundamentals (Transmission Control Protocol/Internet Protocols (TCP/IP), Routing, Virtual Private Networks (VPNs)). About the jobThe Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You listen to the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. You work closely with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate. The High Touch Support team’s focus on solutions and customer-centric supportability helps avoid issues, build stronger customer trust, enable customer's growth and success on Google Cloud Platform (GCP). In this role, you will be a part of a global team that provides support to help customers make the switch to Google Cloud. You will provide a dedicated service to the customers aiming to anticipate their needs, optimize product performance, and enable customer success across complex environments. You will troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation, and coding/scripting. You will make the products easier to adopt and use by making improvements to the product, tools, processes and documentation.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Manage customer issues through effective diagnosis, resolution, or implementation of new investigation tools to increase productivity for customer issues on Google Cloud Platform products. Understand Google's product technology and architectures by troubleshooting, reproducing, determining the root cause for customer reported issues, and building tools for faster diagnosis. Act as a consultant and subject matter expert for internal stakeholders in engineering, sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud. Understand customer issues and advocate for their needs with cross-functional teams, including product and engineering teams to find ways to improve the product and drive quality production. Work as part of a team of engineers/consultants that globally ensure 24-hour customer support. This will include a need to sometimes work non-standard work hours or shifts. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google では障がい者採用の取り組みを進めています。必要な条件/経験:コンピュータ サイエンス、数学、機械学習の学士号（同等の実務経験でも可）。さまざまなユースケース（表形式データ、画像、動画、音声、非構造化テキストなど）向けの ML モデルの構築、および TensorFlow、Keras、PyTorch、JAX、Spark ML、または Scikit Learn を使用した本番環境 ML モデルの構築に携わった 6 年以上の経験。C、C++、Java、Python のうち 1 つ以上の言語を使用してコーディングを行った 2 年以上の経験。クラウド環境（Google Cloud または類似のクラウド）で業務に携わった経験。日本語と英語による優れたコミュニケーション能力を備え、社内外の関係者とスムーズに連絡を取り合えること。望ましい経験/スキル:コンピュータ サイエンス、数学、またはその他の定量分野の修士号または博士号と、ML 関連の実務経験。急速に変化する技術分野に携わり、移り変わりが激しく流動性の高い環境でストレスなく業務を遂行した経験。データと ML に関する技術トレーニングを実施した経験、または技術コンサルタントとして顧客対応を行った経験。学習と継続的な自己啓発への情熱を持って新しい教材の導入とお客様や受講者への提供に取り組み、成果を上げた経験。データ ウェアハウス テクニカル アーキテクチャ、インフラストラクチャ コンポーネント、ETL / ELT、レポート / 分析ツールおよび環境（例: Apache Beam、Hadoop、Spark、Hive）など、データ ウェアハウジングのコンセプトに関する知識。この求人について Advanced Solutions Lab（ASL）for Machine Learning では、ビジネスに大きく影響する課題をお客様が解決できるように、Google 社内の AI/ML エキスパートと一緒に実践的な作業を体験できる機会を提供しています。このプログラムは、Google の ASL 専用施設で実施されます。参加者は、機械学習のコンセプトとエンジニアリング手法について、Google のエンジニアリング チームに提供されるものと同様のトレーニングを受けます。また、各自の業種やビジネス アプリケーションに関連する短期プロジェクトに取り組む機会も提供されます。機械学習ソリューション エンジニアは、ASL 参加者向けの最先端の機械学習と生成 AI に関するコンテンツの提供、作成、メンテナンスを担当するポジションです。お客様と協力して、お客様の具体的なビジネス ユースケースに AI と機械学習を適用できるようサポートしてください。Advanced Solutions Lab の参加者のために日常業務を主導することが求められます。カリキュラムの改善を提案し、プログラムのさまざまなセッションをサポートしてくれる Google の ML エキスパートを見つけて協力を要請し、オープンソースのモデル、フレームワーク、ツールキットの導入に関する提案を行って、常にサービスの向上に努めていただきます。Advanced Solutions Lab での業務に加えて、Google AI および機械学習コミュニティのメンバーとして活動することも職務の一環です。Google の他の AI エキスパートと協力して、最先端の研究プロジェクトとエンジニアリング プロジェクトや、世界に真の価値をもたらす顧客エンゲージメントに取り組んでください。Google Cloud は、あらゆる組織のビジネスと業界におけるデジタル トランスフォーメーションを加速させるとともに、Google の最先端テクノロジーを活用したエンタープライズ クラスのソリューションと、デベロッパーがよりサステナブルに構築に取り組めるツールを提供しています。200 以上の国や地域のお客様が、成長を可能にし、最も重大なビジネス上の問題を解決するための信頼できるパートナーとして Google Cloud を採用しています。業務内容優れたコンテンツを提供し、特定のセッションをサポートする ML エキスパートを Google 全体から見つけ出し、カリキュラムの継続的な改善を行うことで、ML Advanced Solutions Lab の各セッションを成功に導く。Advanced Solutions Lab で、お客様の AI/ML プロジェクトをプロジェクトのフレーミングから実装まで主導し、サポートする。市場とお客様のニーズを把握して AI/ML カリキュラムを設計し、チームおよび Google 社内の AI/ML エキスパートと協力して教材を開発する。AI/ML の最新動向を常に把握し、Google Cloud ML 研究コミュニティ全体で人脈を構築して、ASL 参加者に最新の知識を供給するだけでなく、Google の他の ML エキスパートと相互交流できる独自の機会を提供する。Google Cloud コンサルティング チーム内で AI/ML の SME としての役割を果たし、必要に応じて他の ML アクティビティをサポートする。Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.