Cake Job Search

PLEASE CLICK “APPLY” TO READ MORE DETAILS ABOUT THIS POST This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps. Earn a badge today!

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mumbai, Maharashtra, India; Bengaluru, Karnataka, India; Gurugram, Haryana, India.Minimum qualifications: Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience 6 years of experience shipping production-grade AI-driven solutions to external or internal customers. Experience architecting scalable AI systems on cloud platforms (e.g., Google Cloud Platform). Preferred qualifications: Master’s degree or PhD in AI, Computer Science, or a related technical field. Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google’s ADK) and complex patterns like ReAct, self-reflection, and hierarchical delegation. Knowledge of "LLM-native" metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. Proven ability to implement secure agentic workflows incorporating MCP, tool-calling, and OAuth-based authentication. 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. As a Field Solutions Architect at Google Cloud, you are an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you function as a 'builder-consultant', moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment.In this role, you will handle blocker to production including solving the integration complexities, data readiness issues, and state-management challenges that prevent AI from reaching enterprise-grade maturity. By embedding with strategic accounts, you serve a dual purpose: providing white glove deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.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 Serve as the lead developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, Model Context Protocol (MCP) servers) that drive measurable Return on Investment (ROI). Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters. Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency. Identify repeatable field patterns and technical friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams. Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption. 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 or equivalent practical experience. 5 years of experience with software development in one or more programming languages: Python, Java, or C++. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. Experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, natural language processing or other machine learning disciplines. Experience working as Technical Solution Architect in a cloud computing environment or a customer-facing role. Ability to communicate in English and Japanese fluently to support client relationship management in this region. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 5 years of experience with data structures/algorithms. Experience with building AI and machine learning solutions, Machine Learning Operation frameworks like Kubeflow, and leveraging machine learning architectures (e.g., deep learning, LSTM, etc.). Experience architecting and developing software or infrastructure for distributed systems and with machine learning technologies. Understanding of AI Models, Large Language Models, AI specialized infrastructure and AI practice. Ability to learn, understand, and work with new technologies, methodologies, and solutions in the Cloud/IT technology space. 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. The Google Cloud Platform Generative AI team helps customers unlock their potential with AI. As part of an entrepreneurial team in this growing business, you will help shape the future of businesses of all sizes using AI and ML. You will apply expertise in implementing and deploying Generative AI (GenAI) 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 Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers. Provide AI expertise to support the technical relationship with Google’s customers, manage product and solution briefings, create demos, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud. Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution Google Cloud. Support developers, creators, and enterprises to leverage Google’s Generative Language APIs so they can build their own AI products in the future. Travel to customer sites, conferences, and other related events 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, Data Science, a related field, or equivalent practical experience. 6 years of experience as a technical sales engineer in AI/ML, or in a software engineering role. Experience in Python and Machine learning frameworks (e.g., TensorFlow, PyTorch). Experience delivering technical presentations and leading business value sessions. Experience in Generative AI as a developer. Ability to communicate in English and Korean fluently as this is a customer-facing role that requires interactions with the local stakeholders. Preferred qualifications: Experience in designing and deploying multi-agent architectures with Agent Development Kit (ADK), and integrating next-gen Generative AI models (e.g., Gemini, Imagen, Veo) to build dynamic applications. Experience with core search concepts like indexing and query rewriting. Experience in systems design with the ability to architect and explain data pipelines, ML pipelines, and ML training and serving approaches. Understanding of implementation and optimized Retrieval-Augmented Generation (RAG) models using both first-party and open-source models. Ability to travel up to 20% of the time. About the jobIn this role, you will support Google Cloud Sales and Engineering teams to incubate, pilot, and deploy Google Cloud’s Artificial Intelligence/Machine Learning (AI/ML) and Generative AI technology with AI native customers, large enterprises, and early-stage AI startups. You will help customers innovate faster with solutions using Google Cloud’s flexible and open infrastructure including AI Accelerators Tensor Processing Unit/Graphics Processing Unit (TPU/GPU). You will identify, assess, and develop GenAI and AI/ML applications by applying key industry tools, techniques, and methodologies to solve problems. You will help customers leverage accelerators within their overall cloud strategy by helping run benchmarks for existing models, finding opportunities to use accelerators for new models, developing migration paths, and help to analyze cost to performance. You will work with internal Cloud AI teams to remove roadblocks and shape the future of offerings.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 Advise customers by understanding their business processes and objectives. Architect AI-driven solutions spanning Data, AI, and Infrastructure, and work with peers to include the full cloud stack in the overall architecture. Work with customers on application prototypes, demonstrating Generative AI features, prompting and tuning models, optimizing model performance, profiling, benchmarking, and troubleshooting to find solutions to issues in Generative AI applications. Build repeatable technical assets such as scripts, templates, reference architectures, to enable other customers and internal teams. Coordinate regional field enablement with leadership and work with product and partner organizations on external enablement activities. Work cross-functionally to influence Google Cloud strategy and product direction at the intersection of infrastructure and Artificial Intelligence/Machine Learning (AI/ML) by advocating for enterprise customer requirements. 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 Science, Technology, Engineering, Mathematics, or equivalent practical experience. 8 years of experience in Python or other programming languages in machine learning (e.g., Java, C++, Go). Experience with python and Machine Learning frameworks (e.g., TensorFlow, PyTorch). Experience with Generative AI as a developer. Experience delivering technical presentations. Ability to communicate in English and Japanese fluently to interact with internal and external stakeholders. Preferred qualifications: Google Cloud Platform (GCP) Professional and certified Machine Learning Engineer. Experience architecting Machine Learning Operations (e.g., MLOps) systems in enterprise environments and in building enterprise-grade machine learning systems. Experience working with batch and online model serving with an understanding of model management and monitoring. Knowledge of vertex AI model deployment, and vertex pipelines, kubeflow, or MLFlow for automation and experimentation. Knowledge of GCP services and how to use them for analytics and data engineering, including BigQuery and Vertex AI. Excellent infrastructure building and maintenance skills on the GCP for data engineering pipelines. About the jobAs an AI/ML Field Solutions Architect, you will support Google Cloud Sales teams and engineering to deploy Google Cloud’s Artificial Intelligence/Machine Learning (AI/ML) and Generative Artificial Intelligence (Gen AI) technology at AI natives and innovators, enterprises, and AI startups. You will help customers innovate with the solutions using Google Cloud’s flexible and open infrastructure including AI Accelerators Tensor Processing Unit/Graphics Processing Unit (TPU/GPU).In this role, you will identify, assess, and develop GenAI and AI/ML applications by applying key industry tools, techniques, and methodologies to solve problems. You will help customers leverage accelerators within their overall cloud road-maps by helping run benchmarks for existing models, finding opportunities to use accelerators for new models, developing migration paths, and helping to analyze cost to performance. Along the way, you will work with internal Cloud AI teams to remove roadblocks and shape the future of our offerings. You will navigate ambiguity, troubleshoot and find solutions, and learn in the technology space.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 Japan-based Field Solutions Architect (FSA) team as their team lead. Serve as a consultant for clients by grasping their operational needs and goals. Design AI-focused architectures that encompass data, infrastructure, and AI, collaborating with teammates to integrate the complete cloud stack. Emphasize the advantages of Google Cloud through proof-of-concept projects, feature displays, model tuning, and performance optimization. Resolve issues related to model training and serving. Develop reusable technical resources such as reference architectures and templates to assist internal teams and other clients. Influence the evolution of Google Cloud products by advocating enterprise needs at the crossroads of AI/ML and infrastructure. Oversee regional field readiness in partnership with leadership and collaborate with product and partner teams on external training initiatives. 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.

SUPER 8 Studio 誠摯邀請你的加入！ 如果你具備以下特質，我們期待與你一起開創 AI 產業的新篇章！ ✅ 對 AI 充滿熱情，渴望成長 —— 你想在 AI 產業發展，樂於學習最新技術，並不斷提升自我。✅ 擁有全球視野，敢於接受挑戰 —— 你勇於挑戰新市場，與世界級企業合作，拓展國際舞台。✅ 喜愛創新與團隊合作 —— 你擅長與不同部門合作，共同打造創新產品與服務。✅ 數據驅動，結果導向 —— 你能夠分析數據，提供策略性解決方案，推動業務成長。 📢 現在就加入我們，成為台灣 AI 產業的開創者！ 「如果你想打造一艘太空船，不是號召人們去蒐集素材、忙著分派工作和發號施令。相反地，你要激起他們對探索遼闊宇宙的渴望。」—— SUPER 8 Studio 執行長 Brian Chen 如果你希望在 AI 技術、商業模式創新與國際市場開拓 中發揮影響力，SUPER 8 Studio 是你的最佳舞台！ 【工作內容】 1️⃣品牌公關策略與媒體關係 制定並執行公司整體公關策略，負責品牌形象維護與媒體溝通方向。主動建立與經營主流媒體、新媒體、產業與科技媒體等關係，能即時應對媒體需求與議題發展。撰寫與發布新聞稿、專訪、議題稿及品牌故事內容，確保品牌曝光具一致性與影響力。作為公司對外主要公關窗口，負責媒體應對、議題澄清及危機溝通。 2️⃣ 品牌內容與敘事規劃 規劃並製作品牌相關內容（新聞稿、專題、案例故事、資料包、簡報等），以多元形式強化品牌聲量。將產品或技術資訊轉化為大眾易理解、媒體願意採用的敘事角度。與行銷同仁密切合作，統整品牌訊息、協同規劃跨部門專案與活動，確保對外溝通一致且具策略性。 3️⃣ 活動與曝光推動 策劃並執行品牌活動、記者會、產品發布會、論壇等公關事件。管控活動預算、時程與成效，確保執行品質並達成曝光目標。與媒體及合作夥伴協調專訪、報導與內容合作，持續擴大品牌能見度。 4️⃣ 成效分析與策略優化 定期追蹤媒體露出、品牌聲量與社群回應，整理並分析成效報告。監測產業與競品動態，提出具洞察力的策略建議，提升品牌整體影響力。 5️⃣ 跨部門協作與未來發展 與各部門緊密合作，協同推動品牌曝光、內容行銷與媒體合作專案。具備良好溝通與專案協調能力，能引導跨部門夥伴共同完成目標。具備未來帶領小型團隊的潛力與企圖，隨公司成長可逐步擴展管理職能。

Mô tả công việcArchitect end-to-end generative AI solutions including Large Language Models (LLMs), multimodal AI systems, and AI-powered applicationsDesign and implement scalable generative AI systems leveraging state-of-the-art models such as GPT, Claude, Llama, and other foundation modelsBuild production-ready generative AI products including conversational AI, content generation, code generation, and intelligent automation systemsDevelop and optimize LLM fine-tuning, prompt engineering, Retrieval-Augmented Generation (RAG), and model alignment techniquesLead cross-functional collaboration with data scientists, ML engineers, product managers, and business stakeholders to deliver complete AI solutionsEstablish MLOps practices for generative AI including model versioning, A/B testing, monitoring, and continuous deploymentMentor engineers and provide technical leadership in generative AI best practices and emerging technologiesResearch and evaluate new generative AI techniques, tools, and frameworks to maintain competitive advantageEnsure responsible AI practices including safety, fairness, privacy, and ethical considerations in all AI systemsYêu cầu công việc3+ years of relevant professional experience in AI/ML with 2+ years specifically in Generative AIDeep expertise in Large Language Models, transformer architectures, and generative AI techniquesHands-on experience with foundation models (GPT-4, Claude, Llama, Gemini) and fine-tuning approaches (LoRA, QLoRA, PEFT)Production experience with generative AI applications including RAG systems, AI agents, and conversational AIStrong programming skills in Python with proficiency in PyTorch, Transformers, LangChain, and modern AI frameworksExperience with cloud platforms (AWS, GCP, Azure) and AI/ML services for model deployment and scalingLeadership experience in guiding technical teams and driving AI product development

Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers’ products. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world’s largest provider of logic ICs, with an annual capacity of 16 million 12-inch equivalent wafers. TSMC operates fabs in Taiwan as well as manufacturing subsidiaries in Washington State, Japan and China, and the Company began construction on a specialty technology fab in Dresden, Germany, in 2024. In Arizona, TSMC is building three fabs, with the first starting 4nm production in 2025, the second by 2028, and the third by the end of the decade. The AI4BI team serves as the central intelligence hub within the Corporate Planning Organization (CPO). Our mission is to empower business users with AI-driven solutions that enhance customer satisfaction and streamline operational efficiency. We work closely with stakeholders who blend deep domain expertise in areas like demand and capacity planning with strong analytical capabilities.As an AI Engineer in the Product Innovation department, you will collaborate closely with product managers, designers, and internal business users to prototype and integrate new features into products. You are self-motivated and naturally curious, driven to innovate and deliver impactful results. Responsibilities: 1. Drive Innovation and Impact: Pioneer novel AI/ML solutions from initial concept to functional prototype. Shape the future of our internal product with your discoveries.2. Collaborate with Business Users: Work closely with internal stakeholders to understand needs and translate them into actionable AI-driven solutions that create measurable value.3. Apply Smart AI Techniques: Choose and implement the appropriate methods—classic machine learning, deep learning, or generative AI—to effectively solve diverse problems.4. Partner Across Teams and Geographies: Collaborate with cross-functional, global teams including AI researchers, engineers, and domain experts to integrate AI into production systems.5. Share Knowledge and Stay Current: Communicate insights through data storytelling, mentor colleagues, and proactively adopt emerging AI/ML trends to continuously improve solutions.

PLEASE CLICK “APPLY” TO READ MORE DETAILS ABOUT THIS POSTThis course introduces Vertex AI Studio, a tool to interact with generative AI models, prototype business ideas, and launch them into production. Through an immersive use case, engaging lessons, and a hands-on lab, you’ll explore the prompt-to-product lifecycle and learn how to leverage Vertex AI Studio for Gemini multimodal applications, prompt design, prompt engineering, and model tuning. The aim is to enable you to unlock the potential of gen AI in your projects with Vertex AI Studio. Earn a badge today!

Minimum qualifications: Bachelor's degree or equivalent practical experience. 10 years of experience in product management or related technical role. 5 years of experience taking technical products from conception to launch (e.g., ideation to execution, 0 to 1, etc). Experience with the domain area of Generative AI or Large Language Models. Preferred qualifications:Experience with retail customers or industry.Experience in launching and scaling products within enterprise customers.Understanding of the generative AI landscape, including LLM capabilities, prompt engineering, and the nuances of agentic reasoning.Ability to build trust with C-suite stakeholders and navigate the long-term, high-touch sales and implementation cycles of global retailers.About the jobAt Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users. In this role, you will lead the end-to-end development of sophisticated AI agents designed to revolutionize the retail and commerce landscape. You will act as the primary architect of the product vision, translating the power of Gemini models into practical, high-impact agentic experiences for the world’s leading brands and retailers. As a advocate for both the merchant and the shopper, you will navigate the intersection of generative AI and commerce to build products that are not just technically advanced, but fundamentally essential to business growth.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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.ResponsibilitiesDefine and execute a roadmap that directly increases merchant conversion rates, scales basket sizes, and reduces customer service overhead through automated, intelligent intervention.Prototype and demo AI agents to bridge the gap between abstract concepts and functional products. Use these demos to align stakeholders, solicit early customer feedback, and significantly accelerate the development lifecycle.Translate complex AI capabilities into polished, intuitive, and high-fidelity experiences, ensuring every edge case in the commerce journey is handled with precision.Lead the full product lifecycle with a bias for action, from initial discovery and in-depth search Product Requirements Document (PRDs) to final deployment and post-launch optimization.Partner directly with retail customers to pilot new features, ensuring the AI agents solve high-value problems and achieve delightful shopper experiences.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.