Việc làm cho sinh viên Đại học Hồng Đức

FUJIHOME VIỆT NAM TUYỂN DỤNG VỊ TRÍ GIÁM ĐỐC MARKETINGWebsite: fujihomevn.comĐịa điểm: Hà NộiQuy mô phòng Marketing: 20 ngườiNgành hàng: Thiết bị gia dụng, phủ sóng đa kênh (TMĐT, MXH, Siêu thị, Điện máy, IT, Chuỗi Brand Store FujiHome toàn quốcMÔ TẢ CÔNG VIỆC1. Xây dựng & triển khai chiến lược marketing đa kênh:- Lên kế hoạch và thực thi các chiến dịch marketing online cho các sàn thương mại điện tử (Shopee, Lazada, Tiki...), website công ty, Facebook, TikTok, YouTube, Zalo...- Phối hợp, xây dựng chiến lược marketing offline cho các đối tác là các kênh siêu thị, điện máy, IT store, chuỗi cửa hàng điện thoại và đặc biệt là hệ thống Brand Store FujiHome sẽ khai trương tại nhiều tỉnh thành trong năm nay.- Đảm bảo sự đồng nhất về hình ảnh, thông điệp thương hiệu FujiHome trên mọi điểm chạm khách hàng.2. Quản lý, phát triển và dẫn dắt đội ngũ 20 thành viên:- Tuyển dụng, đào tạo, xây dựng lộ trình phát triển cho từng vị trí: Content, Thiết kế, Digital PR Ads, Performance, Offline, Trade Marketing, v.v.- Giao KPI cụ thể, đánh giá hiệu quả công việc định kỳ, tạo động lực phát triển cá nhân và đội nhóm.- Lâp kế hoạch cụ thể phát trển các kênh truyền thông online củq cty bao gồm: Website, Facebook, Youtube, Tikok, nâng cao nhận diện thương hiệu, truyền thông cho các ngàng hàng, sản phẩm mới... có các KPI cụ thể cho từng công việc và giai đoạn phát triển cụ thể- Thiết lập quy trình phối hợp, báo cáo, giám sát tiến độ, đảm bảo chất lượng công việc của toàn bộ phòng marketing.3. Ứng dụng AI toàn diện trong hoạt động marketing:- Thiết kế & sáng tạo nội dung: Sử dụng AI (MidJourney, Canva AI, Runway ML, Synthesia...) để tối ưu hóa thiết kế hình ảnh, video, banner, poster, TVC, viral clip trên đa nền tảng.- Xây dựng nội dung đa kênh: Sử dụng ChatGPT, AI content writer, AI SEO tools để lên ý tưởng, viết bài, kịch bản video, nội dung quảng cáo, email marketing tự động hóa, cá nhân hóa trải nghiệm khách hàng.- AI Automation & AI Agent: Triển khai chatbot AI chăm sóc khách hàng, hệ thống tự động hóa quản lý chiến dịch, đo lường dữ liệu, báo cáo hiệu quả marketing real-time.- Đánh giá, chọn lọc và triển khai các giải pháp AI mới phù hợp với mục tiêu kinh doanh và đặc thù ngành hàng.4. Tối ưu hiệu quả kinh doanh và nhận diện thương hiệu:- Phối hợp chặt chẽ với các phòng ban (Kinh doanh bán lẻ và phân phối, Dịch vụ hậu cần, Phòng Kĩ thuật, bảo hành, CSKH, Vận hành, IT...) để đẩy mạnh các hoạt động truyền thông MKT hỗ trợ đẩy mạnh doanh số, tăng trưởng khách hàng mới, chăm sóc khách hàng cũ.- Phối hợp với các bộ phận Kinh doanh Đề xuất ý tưởng mới, sáng tạo các chương trình ưu đãi, minigame, event khai trương đại lý, Brand Store, livestream bán hàng, hợp tác KOLs, Influencer.

About the Job:Join a dynamic team of Java developers and QA Engineers working on a cutting-edge global platform for processing thousands of invoices per second. This platform focuses on identities, payments, finance, and documents, and offers an opportunity to shape the future of electronic trading applications. Collaborate closely with the QA Engineers, Developers, and Architects to create exceptional frameworks for automated testing and enhance the overall experience for all the products of Banqup Group. Ensure the implementation of secure solutions that meet the QA strategy and platform requirements. Conduct code reviews, establish and maintain secure CI/CD operations, and foster collaboration with other units and programs within Banqup Group.

Manage and administer cloud◦ based infrastructure in both Azure and AWS. Configure, monitor, and maintain Linux servers and ensure high system reliability and performance. Implement and support CI/CD pipelines using Jenkins for automated deployments. Deploy, manage, and troubleshoot Docker Swarm clusters. Maintain and optimize system and network configurations, ensuring scalability and security.Collaborate with developers to support smooth releases and environment consistency. Monitor system health, perform backups, and apply updates and patches. Document configurations, procedures, and best practices.

We are seeking a diligent and detail-oriented QA Engineer to join our R&D team. The successful candidate will be responsible for ensuring the quality and reliability of our software products through comprehensive system testing and manual testing efforts. This role requires a strong understanding of testing methodologies and proficiency in using JIRA for defect tracking and test case management.Job ResponsibilitiesDesign, develop, and execute comprehensive test plans and test cases for software applications, focusing on system-level functionality and integration.Perform manual functional, regression, integration, and system testing on various software components and features.Identify, document, and track software defects and issues using JIRA, ensuring clear and concise defect reports with steps to reproduce.Collaborate closely with development teams, product managers, and other QA engineers to understand requirements, clarify specifications, and provide timely feedback.Participate in review meetings for requirements, design specifications, and test plans to ensure thorough test coverage.Contribute to the continuous improvement of the QA process, methodologies, and tools.Provide regular updates on testing progress, defect status, and overall quality to project stakeholders.Assist in the reproduction and verification of reported issues from internal and external sources.  

Role OverviewWe’re hiring a Senior Data Engineer to take end-to-end ownership of our data infrastructure on GCP, building scalable pipelines and analytics foundations that directly drive AI systems and business growth. Responsibilities Design and maintain end-to-end data pipelines on GCPWork with BigQuery, Cloud Storage, Cloud Run, Pub/Sub, Cloud SQLBuild ETL/ELT pipelines using Python and Apache NiFiOrchestrate workflows with Airflow and manage CI/CD via JenkinsDesign data models optimized for analytics and reportingWork with NoSQL databasesBuild and support dashboards using Metabase and Looker StudioEnsure data quality, reliability, and scalabilitySupport data needs for AI/ML and automation 

• Tham gia xây dựng và tổ chức thực hiện kế hoạch được duyệt trong phạm vi quản lý• Thường xuyên kiểm tra, đánh giá số lượng, chất lượng Cán bộ nhân viên (CBNV) trong phạm vi quản lý để bảm bảo cơ sở có đủ CBNV có năng lực• Tham gia xây dựng và tổ chức triển khai ngân sách trong phạm vi quản lý• Kiểm soát chất lượng vận hành bếp ăn• Giám sát công tác vận hành hệ thống kỹ thuật• Giám sát công tác bảo trì theo kế hoạch định kỳ, nghiệm thu các hạng mục kỹ thuật sau khi sửa chữa/cải tạo• Giám sát công tác an toàn Phòng chống cháy nổ, an toàn lao động và các công việc phát sinh khác;• Kiểm soát chất lượng vệ sinh• Quản lý tài sản, kho và cơ sở vật chất• Tổ chức công việc hành chính và hậu cần sự kiện của cơ sở (nghỉ mát, tham quan dã ngoại, họp phụ huynh, hoạt động của học sinh…)• Tổ chức hậu cần đón tiếp các đoàn thanh, kiểm tra• Lập ngân sách cho các hoạt động của nhà trường và theo dõi việc thực hiện ngân sách đảm bảo tối ưu hóa chi phí• Cung ứng mua sắm phục vụ các hoạt động dạy và học của nhà trường.

We are looking for BrSE who will play a role as a communication bridge between the developing teams in Vietnam and Japan to grow our business and digitalization of the Construction industry dynamically. Working in a squad model alongside a product manager and small agile teams, you will be involved in all project phases, from design and development to testing, deployment, operation, and maintenance. This position provides a great opportunity to work with modern technologies and frameworks in a dynamic international environment.■ Job ScopeEnsure that all projects are delivered on time and within scope.Assist in the definition of project scope and objectives, involving all relevant stakeholders and ensuring technical feasibility.Delegate project tasks based on members‘ individual strengths, skill sets, and experience.Perform risk management to minimize project risks.Track project performance, specifically to analyze the successful completion of short-term and long-term goals.Report and escalate to management as needed. Create and maintain comprehensive project documentation. Manage the relationship with the client and all stakeholders. Meet with the ANDPAD Japan team to take detailed ordering briefs and clarify specific requirements of each project.Manage changes to the project scope, project schedule, and project costs using appropriate verification techniques.Ensure resource availability and allocation.■ Development environmentBackend: Ruby on Rails, Go, AWS, Elasticsearch, MySQL, DynamoDB, Redis, Terraform (IaC), OIDC (Authentication).Frontend: NextJS/ ReactJS, Typescript, Vue.js/ Nuxt.js.Mobile App: Kotlin, Swift, Flutter.Deploy/ Build: Docker, K8s, CodePipeline, CodeBuild, CircleCI, GitHub Actions.Others: Datadog, Sentry, Bugsnag, Swagger, ZenHub, Figma.

About TymeXTymeX is Tyme Group's Technology & Product Development Hub with a global mission to become serial bank builders. Our Financial Crime platform plays a critical role in protecting customers and the bank from fraud, money laundering, and other financial crimes using advanced data, AI, and automation. About the RoleWe are seeking a Graph Data Engineer to join the Financial Crime Platform team at TymeX. You’ll play a key role in designing, implementing, and optimizing graph-based data models that uncover relationships across customers, entities, devices and transactions — helping our teams detect fraud, identify hidden connections, and streamline case investigations. You will work with graph databases and visualization tools, collaborating closely with our Data, Compliance, and Product teams to power advanced analytics and case management workflows. Key ResponsibilitiesDesign and implement graph data models that represent complex relationships between customers, organizations, transactions, devices, behaviour and events. Build graph data pipelines to extract, transform, and load (ETL) data from multiple internal and external sources. Develop efficient queries and Graph Data Science algorithms to support entity resolution, link analysis, and investigative insights. Work with graph visualization tools to build intuitive investigation tools for investigators and analysts. Collaborate with Financial Crime/Fraud analysts to translate investigation use cases into graph-driven solutions. Optimize data performance and ensure data quality across graph structures. Partner with software engineers and data scientists to integrate graph data into wider Financial Crime/Fraud workflows and detection logic. 

  •  Tham gia lập, rà soát và hoàn thiện Bộ báo cáo tài chính phục vụ IPO  •  Chuẩn bị, chuyển đổi và soát xét Báo cáo hợp nhất IFRS  •  Rà soát, làm sạch và chuẩn hóa dữ liệu kế toán – tài chính nhiều năm  •  Phối hợp với kiểm toán, tư vấn, các phòng ban liên quan trong quá trình IPO  •  Hỗ trợ xây dựng quy trình, chính sách kế toán đáp ứng yêu cầu niêm yết  •  Hỗ trợ các Thị trường Nước ngoài các vấn đề về nghiệp vụ kế toán theo chuẩn mữ IFRS theo lộ trình lên IPO

Phát triển tính năng mới phục vụ phần mền Nexta Đảm bảo duy trì hệ , fix lỗi , sửa chữa các chức năng hiện có Phối hợp cùng đội ngũ và các vị trí khác như tester & designer để hoàn thiện sản phẩm đáp ứng nhu cầu của khách hàng Phát triển các sản phẩm về giáo dục trực tuyến của công ty Hỗ trợ giải quyết các vấn đề của dự án Làm việc, phối hợp công việc theo nhóm dưới sự phân công công việc của quản lý dự án Thực hiện các kiểm thử đơn vị, kiểm thử tích hợp để đảm bảo chất lượng của mã nguồn.

Work with international customers and colleagues from Germany, France, the Czech Republic, and the USIndependent conception and implementation of new functions in complex application landscapesCoding in the frontend and backend, mainly with Java and JavaScriptCreation of technical documentationThis job is open to both Vietnamese citizens and foreigners living in Vietnam.Please send us your application in English.

Design and architect end-to-end AI/ML solutions, including data pipelines, model training workflows, inference systems, and enterprise integration.Create and lead AI native development scheme based on AI agent for core business area which can be future valueSupport multiple offshore/ outsourcing AI projects by reviewing technical designs and providing guidance to development teams.Build and optimize AI models (LLM, NLP, Computer Vision, predictive analytics) and develop reusable AI components and microservices.Collaborate with NEC Global teams on technical proposals, system validation, and production deployment.Troubleshoot complex technical issues and support teams throughout the implementation phase.Research emerging AI technologies and contribute to internal best practices, frameworks, and reusable assets.Mentor junior members and support capability development within NEC Vietnam.

About OneSecOneSec Is the market leader in AI delivery drones. Small, user friendly drones that can deliver packages door-to-door, from any business to any customer. We are opening an R&D facility in Ho Chi Minh City, Vietnam, and are looking for talented developers. You can find more info on our website: OneSec.com 

Job Purpose- Ensure to follow the development strategy of the online life insurance product business and the orientation of Techcom Life. - Control and develop VIP/Special Customer care activities at Techcom Life for customers through the network of business partners on a modern and advanced technology platform.- Ensure to follow the development strategy of the online life insurance product business and the orientation of Techcom Life.- Control and develop VIP/Special Customer care activities at Techcom Life for customers through the network of business partners on a modern and advanced technology platform.Key Accountabilities 1. In charge of the customer service department, managing and planning the department's development according to the company orientation in each period: • Building, developing and improving systems to serve the work of taking care of Customers, focusing on consulting and applying technology, automated management systems... to optimize system performance and maximize the productivity of departmental staff. • Building and developing systems according to the FinTech orientation • Participating in building and proposing company's system development plans, in line with the company orientation in each period • Proposing online customer care programs and policies • Collecting information, consulting for product development departments about the market, customers, competitors• Coordinating with other departments to develop policies, regulations, processes, and instructions on the operations of the whole company2. In charge of the customer service department, managing and planning the department's development according to the company orientation in each period:• Building, developing and improving systems to serve the work of taking care of Customers, focusing on consulting and applying technology, automated management systems... to optimize system performance and maximize the productivity of departmental staff.• Building and developing systems according to the FinTech orientation• Participating in building and proposing company's system development plans, in line with the company orientation in each period• Proposing online customer care programs and policies• Collecting information, consulting for product development departments about the market, customers, competitors• Coordinating with other departments to develop policies, regulations, processes, and instructions on the operations of the whole company3. Operational and service quality management - Monitor the performance of the customer service team, ensure compliance with SLAs, processes and quality standards. - Analyze CSAT, NPS, churn rate data to evaluate service effectiveness and propose improvements.- Handle complex complaints, sensitive situations or situations that may affect the company's reputation. - Work with relevant departments to resolve inter-departmental issues, ensuring a seamless customer experience.4. Operational and service quality management- Monitor the performance of the customer service team, ensure compliance with SLAs, processes and quality standards.- Analyze CSAT, NPS, churn rate data to evaluate service effectiveness and propose improvements.- Handle complex complaints, sensitive situations or situations that may affect the company's reputation.- Work with relevant departments to resolve inter-departmental issues, ensuring a seamless customer experience.5. People management Attract, onboard and retain the right talents for a high-performing team Communicate team and individual KRAs/ KPIs, goals, action plan, expectations and results to team members Manage team performance & provide feedback regularly (following the annual performance management cycle); Enable team member’s professional and personal development through capability assessment, training, coaching & feedback, etc. Motivate and recognize team members’ contributions towards the team’s shared goals Responsible for developing talents within the team Act as a role model and promote corporate culture at sub-function level Understand & communicate relevant HR offerings to team members.6. People managementAttract, onboard and retain the right talents for a high-performing teamCommunicate team and individual KRAs/ KPIs, goals, action plan, expectations and results to team membersManage team performance & provide feedback regularly (following the annual performance management cycle);Enable team member’s professional and personal development through capability assessment, training, coaching & feedback, etc.Motivate and recognize team members’ contributions towards the team’s shared goalsResponsible for developing talents within the teamAct as a role model and promote corporate culture at sub-function levelUnderstand & communicate relevant HR offerings to team members.

A Data engineer in TrustingSocial works on the data pipeline infrastructure that is veritably the backbone of our business. In a day's job you would be writing elegant functional SCALA, Java and Python code to crunch TBs of data on Hadoop clusters, mostly using Spark. In a week's job, you would be owning a data pipeline deployment to clusters : on-prem or on-cloud (AWS or GCP). In a month's job, you would be managing Hadoop clusters right from security to reliability to HA. Did we mention we are building a pluggable,unified GCP and AWS data-lake from scratch? From time to time you have new challenges for automating and scaling tasks for the Data science team. We constantly look to improve our framework and pipelines, hence learning on the job is sort of a given. This is the big picture of our big data system. Our expertise and requirements include but are not limited to Java, Scala, Python, Airflow, HDFS, Yarn, Hive, Kafka, Spark, Distributed Systems, Python, Databases (Relational and NoSql). Sass/Cloud development and deployment.

1/ Architecture & Leadership: Design and lead Full Stack solutions covering frontend, backend, and IoT integration. 2/ Frontend: Deliver complex applications using MAUI, WPF, ASP.NET Core, React with high-quality UI/UX. 3/ Backend: Architect and implement real-time, scalable APIs for IoT data processing with C#, EF Core, MariaDB. 4/ IoT & System Integration: Develop and optimize drivers/firmware for Linux-based IoT devices and STM32. 5/ Advanced Engineering: Apply Microservices, Message Queues (Kafka), gRPC, and real-time data pipelines. 6/ Mentorship: Guide junior developers, conduct code reviews, and ensure best practices across the team. 7/ R&D Contribution: Explore emerging technologies and propose improvements for scalability and performance.

- Sourcing suitable suppliers based on customer’s inquiry and orders.- Being expertise in product development, costing, production planning, work with clients, suppliers, and production factory.- Conducting market’s trend to survey and develop new product.- Develop new products and promote to customer to meet sales target and quotation.- Negotiate on purchasing terms and cost with vendors/suppliers to meet buyer’s requirement.- Independently dealing with Customer and Vendor/factory.- Evaluate and select potential suppliers by reviewing capability and facility.- Monitor on-time delivery and leverage vendor’s performance and product quality.- Product presentation through samples and display to buyers during their visits.- Sourcing, making offers and preparing itinerary for buyers.- Other works as assigned from line manager.

Job Purpose The job holder supervises the setup of analytical tools to generate insights for customer journeys and product enhancements using programming methods, processes and systems to consolidate and analyze unstructured, diverse Big Data sources. The job holder is required to take initiative in experimenting various technologies and tools with vision of creating innovative data driven insights for the business at the quickest pace possible and keep current with technical and industry developments. Key Accountabilities (1) Data Solutioning Evaluate effectiveness of proposed models and track business performance against data analysis model. Build cutting-edge algorithms and work with machine learning and deep learning tools to deliver advance analytics solutions across the firm including recommendation engines, customized data models, customer journeys, graph modes, etc. Drive application of machine learning and big data techniques across different journeys and squads. Manage, execute, and review complex data science projects in an agile manner and in compliance with internal regulatory requirements. Key Accountabilities (2) Data Insighting Lead the identification and interpretation of meaningful and actionable insights from large data and metadata sources. Review processes and tools designed to monitor and analyze model performance and data accuracy. Proactively lead discussions in 3+ squads to identify questions and issues for data analysis Collaborate with Data Engineers to build complex, technical algorithms in data analytics software applications to improve work efficiency. Key Accountabilities (3) Projects Management Manage project conflicts, challenges and dynamic business requirements to keep operations running at high performance. Work with team leads to resolve people problems and project roadblocks, conduct post mortem and root cause analysis to help squads continuously improve their practices to ensure maximum productivity. Talent Development Mentor and coach Data Analysts into fully competent Data Scientists. Identify and encourage areas for growth and improvement within the tribe. Key Relationships - Direct Reports