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1. Assist in defining project scope and objectives, engaging all relevant stakeholders to ensure technical feasibility.2. Develop actionable project schedules and lead scrum team members to deliver projects on time and within scope.3. Ensure clear and consistent communication of project updates and their impact on development progress to stakeholders.4. Coordinate with Engineering, Product, Business Development, Marketing, and Customer Success teams to clarify project priorities, timelines, and resource allocation.5. Identify and manage project risks, escalating issues to stakeholders as necessary.6. Enhance current processes to improve team efficiency.

MoMo is the market leader in mobile payments in Vietnam. We strive to make all transactions fast, easy and joyful. We are looking for an experienced Software Engineer to join our growing Big Data AI team. At MoMo, we make AI/Machine Learning the core component to almost every part of the product - product recommendation, personalization, conversational AI, eKYC, risk scoring, fraud detection, promotion targeting and financial services.As a Software Engineer specializing in Natural Language Processing (NLP), you will play a pivotal role in crafting and deploying advanced conversational AI systems. This position offers a unique chance to make a significant impact by leveraging Generative AI and Large Language Models to transform interactions for millions of users. Join us in pushing the boundaries of AI technology and shaping the future of mobile payments in Vietnam.Mô tả công việcDevelop and Implement Conversational AI Solutions: Design, build, and maintain advanced conversational AI systems that enhance user interactions, utilizing cutting-edge NLP technologies and Generative AI.Contribute to System Architecture: Participate in the design and architecture of systems and infrastructure, ensuring robustness and scalability.Maintain High Standards of Code Quality: Write clean, maintainable, and efficient code in Kotlin and Python, and participate in code reviews to uphold the team's quality standards.Collaborate with Cross-Functional Teams: Work closely with product managers, data scientists, and other engineering teams to integrate AI-driven features into our platform, ensuring seamless user experiences.Yêu cầu công việcWhat we are looking forStrong Problem-Solving Skills: You have a proven track record of tackling complex technical challenges and delivering effective solutions, particularly in the realm of AI and machine learning.Ownership and Proactivity: You take initiative and are driven to see projects through from start to finish. You are someone who can be relied upon to deliver results with minimal supervision.Backend Engineering Proficiency: Minimum 5 years of experience as a Software Engineer, with strong skills in backend languages like Kotlin, Python, Java, or Go.High Standards for Quality: You take pride in your work and strive to deliver solutions that are not only functional but also maintainable and scalable.BenefitsCompetitive compensation package.Performance-based bonus.Insurance package.Chance to work with many strong people with international experience.

We are seeking motivated AI Engineering Interns to explore and apply the latest advancements in AI across various industrial sectors such as Asset Management, Transportation, and more. This role focuses on integrating Large Language Models (LLMs) into business workflows to drive innovation and deliver tangible business value. You will be involved in researching, developing, and implementing AI-driven solutions that optimize processes and enhance decision-making within industrial domains. Key Responsibilities Research Exploration: Study the potential of AI, especially Large Language Models (LLMs), in solving real-world challenges in industries like Asset Management, Transportation, and Manufacturing. Investigate how LLMs can enhance data processing, decision-making, and operational workflows within industrial applications. Solution Development Integration: Collaborate with industry experts to understand existing business processes and workflows. Develop AI-powered applications that utilize LLM capabilities for tasks such as asset tracking, predictive maintenance, logistics optimization, and supply chain management. Design and prototype systems that leverage Gen AI to automate routine tasks, improve communication, and drive efficiencies. AI for Asset Management Transportation:Apply AI models to streamline asset lifecycle management, optimize resource allocation, and predict failure patterns in industries like energy, utilities, and transportation.Create LLM-based solutions that enhance operational decision-making, optimize transportation schedules, or provide intelligent maintenance suggestions.AI Integration in Business Workflows:Work with cross-functional teams to integrate AI models into existing platforms and tools used in industrial operations.Explore the use of conversational AI, natural language processing (NLP), and machine learning to improve customer support, operations monitoring, and performance reporting.Data Processing Automation:Utilize Gen AI to automate document processing, report generation, and data analysis workflows.Enable intelligent query systems and chatbots that can assist stakeholders in obtaining insights from vast amounts of industrial data.Documentation Presentations:Document your research findings, development processes, and integration strategies for future reference and knowledge sharing.Present your AI-driven solutions and prototypes to engineering and leadership teams, highlighting their business impact.

MoMo is the market leader in mobile payments in Vietnam. We strive to make all transactions fast, easy and joyful. We are looking for an experienced QC/QA Engineer to join our growing technology team. At MoMo, we build innovative solutions across product recommendation, personalization, conversational systems, eKYC, risk scoring, fraud detection, promotion targeting and financial services. As a QC/QA Engineer specializing in Natural Language Processing (NLP), you will play a pivotal role in ensuring the quality, reliability, and performance of our advanced conversational AI systems. This position offers a unique chance to make a significant impact by developing comprehensive testing strategies for Generative AI and Large Language Models, ensuring seamless and accurate interactions for millions of users. Join us in maintaining the highest standards of quality while pushing the boundaries of AI technology and shaping the future of mobile payments in Vietnam.Mô tả công việcCreate/Modify test-related artifacts (test cases, test report, test plans).Track and control testing progress, and report to TL about any quality problems/issues of the project.Perform all phases of testing including functional, system and regression testing.Participate in peer review and inspect requirement documents.Prepare test data and environment as needed to complete testing assignments.Have a proactive and good work relationship with other team members.Analyze and raise the issues, propose the solution to improve the system.Yêu cầu công việcDegree in Computer Science or related fields5+ years experiences in manual test Web, App MobileExperience in QC of highly scalable, distributed and high-performance applications as APIs, Adhoc Test.Ability to hands-on testing in multiple projects, Integration Test and developing test cases, test planHave knowledge and experience in API testing (Postman tool), Query Databases, Performance test (Jmeter)Good knowledge of databasesGood knowledge of software development methodologiesGood analytic skills and mindsetMotivated and ability to work overtimeTeamwork spiritExperience in automation testing for web apps, mobile is a big plus.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Gurugram, Haryana, India; Hyderabad, Telangana, India; Mumbai, Maharashtra, India; Pune, Maharashtra, India.Minimum qualifications: Bachelor's degree or equivalent practical experience. Experience working with Unix/Linux environments, distributed systems, machine learning, information retrieval, and TCP/IP. Experience programming in C, C++, Java, or Python. Preferred qualifications: Bachelor's or Advanced degree in Computer Science or Computer Engineering, or a related field. 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.As a key member of a small and versatile team, you design, test, deploy and maintain software solutions. Google is an engineering company at heart. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on users around the world. At Google, engineers not only revolutionize search, they routinely work on scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another.Responsibilities Research, conceive, and develop software applications to extend and improve on Google's product offering. Contribute to a wide variety of projects utilizing natural language processing, artificial intelligence, data compression, machine learning, and search technologies. Collaborate on scalability issues involving access to data and information. Solve challenges/problems that you are presented with. 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.

About Aiello Aiello is a Taiwan-based startup specializing in conversational AI. Our flagship product—Aiello Voice Assistant—leverages cutting-edge voice and NLP technologies to deliver natural, intuitive human-machine interactions. We aim to redefine guest experiences in hospitality and beyond, shaping the future of lifestyle through AI. Learn more at https://aiello.ai Role Overview As we expand into Japan, we’re looking for a native Japanese speaker to help localize our sales and marketing content and manage our Japanese social media presence. You will work closely with the Sales Marketing team and assist with ad hoc projects as needed. Key Responsibilities Translate and localize company content (website, blog, video scripts, social media posts) from English to Japanese.Ensure content tone and messaging align with Japanese cultural and market expectations.Manage social media accounts(optional)Create original Japanese content based on market trends and feedback(optional)Support cross-functional marketing and business development initiatives.Assist with Japanese language QA and product reviews when required.Qualifications Native Japanese speaker; fluent in English and/or MandarinExcellent writing and communication skillsStrong attention to detail; grammar proficiency is a mustAble to meet deadlines and manage multiple tasksCultural fluency in Japanese consumer behavior and toneInterest in technology and AI is a strong plusExperience in hospitality is a bonusWhat You'll GainYou'll develop real-world experience in multilingual content localization, brand communication, and cross-team collaboration. This role is ideal for individuals interested in marketing, tech, or international business.

Google welcomes people with disabilities.Minimum qualifications: Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. 2 years of experience with software development in C or C++ language. Preferred qualifications: Master’s degree, or equivalent practical experience in Engineering, Computer Science, or a related technical field. Experience with emulation platforms, FPGAs or silicon bring-up. Experience with firmware, real-time operating system development. Experience with Linux and Android device driver development. Experience with display technologies, such as Display Processing Unit, Display Serial Interface, and Displayport. 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. Responsibilities Design and implement the validation software for Google Tensor. Create and integrate software on emulation, Field Programmable Gate Array (FPGA), and silicon environments. Collaborate with internal and external partners to support the development and execution of the validation plans. Support users in development of production device drivers and debugging failures. 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 like Java, C, C++, or Python Preferred qualifications: 10 years of experience in Artificial Intelligence/Machine Learning (AI/ML). About the jobGoogle Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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. 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 Analyze core AI and BI use cases and build easy-to-use and scalable features. Collaborate with a team of Engineers to develop techniques that improve system performance, efficiency, and scalability. Own end-to-end ownership of critical components from design and implementation to testing and optimization. Be an expert in Business Intelligence (BI) domain. Foster an environment of continuous learning and knowledge sharing. 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 Electrical Engineering, Computer Science, a related technical field or equivalent practical experience. 2 years of experience with software development in C language. Experience with Git, Repository (Repo), and bug tracking tools. Preferred qualifications: Experience in ARM architecture, standard interfaces, bare-metal programming, bootloader, and firmware. Experience in Linux kernel, device drivers, and Android system programming. Experience in optimizing algorithms with OpenGL/OpenCL/NEON/LLVM on CPU/TPU/GPU/DSP. Experience in verification using FPGAs or emulation platforms. Experience with computer architecture, compilers, machine learning, or image processing. Experience in software/hardware integration. 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.Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.Responsibilities Design and implement Linux core drivers and firmware for mobile systems. Design and implement tools for system bring-up, debugging, and performance/power evaluation. Design and implement functional tests to validate the correctness and performance of individual components and systems in pre-and post-silicon environments. 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.