Việc làm cho sinh viên Đại học Hồng Đức

Are you looking to be more than just an ordinary Data position? Do you have what it takes to see where you can improve the lives of others through making great mobile and web products to solve issues and improve life? Do you want your products to be used by millions of users in the world and know immediately how much they love your work? As a DataOps member in Deliveree, you will have the opportunity to develop remarkable and transformative products. Your role will involve designing and developing company operation tools and applications, as well as coordinating with a team of data developers to deliver high-quality software technologies and systems. Working with vast volumes of data, you will gain extensive knowledge across different domains and functions within the logistics business, products, and operations. Your technical expertise will contribute to the decision-making process for business and product strategies, allowing you to actively contribute to the creation of exceptional technology products. This position presents a challenging yet highly rewarding opportunity to enhance your experience within a fast-paced product startup. Join us in revolutionizing the logistics industry with your skills, abilities, and passion for technology. ResponsibilitiesJoin our Data team which focuses on Deliveree’s service quality and business insights.Assemble large, complex data sets that meet functional / non-functional business requirements.Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.Work with Backend, Product, CS, Business, Finance... teams on product logic to provide reports and dashboards (data visualization).Work on the development of our enterprise-grade ecosystem of Data Analytics products (pipeline, crawler, analytics, distributed system, real-time fraud checking,...). 

1. Tìm kiếm, đánh giá, tiếp cận và tạo dựng quan hệ, chào thuê các khách hàng tiềm năng trên toàn quốc; phát triển, chăm sóc khách thuê; đánh giá được và nắm được chiến lược, kế hoạch phát triển của từng thương hiệu, từng khách hàng2. Tư vấn dự án, đàm phán, ký HĐ thuê với khách hàng3. Nghiên cứu thị trường và xu hướng tiêu dùng, đánh giá thị phần, đối thủ cạnh tranh4. Phối hợp với QTDA lên phân bổ mặt bằng, ngành hàng, sắp xếp khách thuê cho các dự án mới.5. Xây dựng kế hoạch kinh doanh và các chương trình hành động kinh doanh để đạt được mục tiêu kinh doanh.6. Tổ chức, kiểm soát, đánh giá hiệu quả hoạt động cho thuê theo kế hoạch cho thuê, từng dự án có phương án thuê, lấp đầy hàng năm khả thi đảm bảo được độ lấp đầy và doanh thu cho thuê, tỷ lệ chốt khách cao7. Tổ chức phát triển danh mục khách thuê, chăm sóc rà soát phân loại khách thuê, đạt được kế hoạch phát triển khách chuỗi8. Kiểm soát chất lượng khách thuê (hình ảnh, sản phẩm, thiết kế, thi công) đạt tiêu chuẩn của Vincom, đảm bảo đúng Quy hoạch thương hiệu và Mặt bằng cho thuê, khai trương đúng tiến độ.9. Hỗ trợ và phối hợp BQL xử lý các sự vụ khách hàng khó khăn khi kinh doanh. Xây dựng kế hoạch chạy thuê thay thế khách hàng tại các dự án đang hoạt động, đảm bảo Tỷ lệ lấp đầy và Doanh thu cho thuê từng cơ sở.

Triển khai các nội dung liên quan đến quy định pháp luật tại MB để đảm bảo tuân thủ, bao gồm Luật dữ liệu, Luật bảo vệ dữ liệu cá nhân, Luật bảo vệ quyền lợi người tiêu dùngRà soát, cho ý kiến về các quy chế, quy trình sản phẩm, cơ chế trong ngân hàng/Công ty thành viên liên quan đến hoạt động dữ liệu, bảo vệ dữ liệuXây dựng các văn bản của Khối dữ liệu, quy định hiện tại để xác định các vấn đề cần cải tiến trên cơ sở các quy trình, luồng dữ liệu của chính sách, sản phẩm, hoạt động tại ngân hàngXây dựng/cập nhật các tiêu chuẩn dữ liệu, quy trình đánh giá chất lượng dữ liệu trên công cụ chất lượng dữ liệu, Xây dựng hồ sơ dữ liệu (Data Profiling) và phân tích kết quả Data Profiling,Xây dựng báo cáo và chấm điểm chất lượng dữ liệu theo các tiêu chuẩn, quy định, hướng dẫn...đã được ban hành.

1. Tóm tắt vai tròPhối hợp chặt chẽ với nhóm phát triển để hướng dẫn triển khai và tạo ra giải pháp mô-đun, có thể mở rộng nhằm đáp ứng nhu cầu nghiệp vụ2. Trách nhiệm chínhĐịnh hình kiến trúc cho từng dự án, đảm bảo tính tương thích và mở rộng.Xác định các yêu cầu chức năng và phi chức năng để đáp ứng nhu cầu nghiệp vụThiết kế kiến trúc tổng thể từ đầu đến cuối hiện có, mục tiêu và chuyển tiếp của giải pháp đã chọnHướng dẫn các nhóm Agile về chiến lược công nghệ liên quan đến hoạt động mã hóa, tích hợp liên tục và triển khai tự độngLàm việc với các trưởng nhóm sản phẩm và CNTT để thống nhất kiến trúc và lộ trình giải pháp phù hợp với tất cả các tiêu chuẩn và chính sáchPhối hợp với các nhóm phát triển để cung cấp hướng dẫn kỹ thuật và đảm bảo tuân thủ thiết kế kiến trúcXác định và quản lý các quyết định kiến trúc quan trọngThiết kế các biện pháp phục hồi cho giải pháp được giaoHỗ trợ đánh giá và lựa chọn nhà cung cấp bên thứ ba hoặc các thành phần có thể cần thiết để hỗ trợ giải phápDẫn dắt triển khai các thông lệ tốt nhất và mô thức đưa vào giải pháp3. Các quan hệ chủ đạoCác trưởng nhóm kỹ thuật và CNTTCác nhóm phát triểnKiến trúc sư ứng dụng, dữ liệu, nghiệp vụ và công nghệ.

Portfolio Analytics: Analyze credit card and lending portfolio performance, uncover key trends, and generate actionable insights to manage risk and support growth.Risk Monitoring & Reporting: Build automated dashboards and early warning systems to track portfolio health and risk KPIs.Strategy Development: Support senior managers in refining credit strategies, including acquisition, line management, and collections.Collaboration: Partner with Data Science, Product, and Business teams to translate analytics into effective business strategies.Continuous Improvement: Proactively identify opportunities to improve data quality, analytical efficiency, and portfolio performance.GenAI Application & Automation:Explore and apply GenAI tools to automate repetitive analytical tasks.Identify and design GenAI-enabled risk management solutions, such as anomaly detection, customer profiling, or decision support systems.

The Business Analyst based in Vietnam is responsible for gathering and documenting product requirements, analyzing and improving processes, engaging with stakeholders, and collaborating with Tech and UX teams to deliver data-driven and user-centric solutions that meet product objectives.ResponsibilitiesRequirements Gathering & Documentation:Conduct meetings and workshops with product stakeholders to capture detailed product requirements.Develop comprehensive product requirement documents (PRDs), use cases, user stories, and functional specifications that clearly outline product goals and system functionalities.Collaborate with stakeholders to refine and prototype solutions that meet their needs.Process Analysis & Improvement:Map and analyze existing product processes to identify inefficiencies, bottlenecks, and areas for improvement.Suggest and document process changes to enhance productivity and reduce costs.Work with cross-functional teams to implement process improvements.Stakeholder Engagement:Act as the primary liaison between company departments and technical teams (Tech and UX), ensuring clear and timely communication.Facilitate requirements validation sessions, design reviews, and status meetings.Ensure that all stakeholders are aligned on project scope, deadlines, and deliverables.Technical Collaboration:Translate product requirements into technical specifications that enable developers and other technical team members to build effective solutions.Work closely with the quality assurance (QA) team to ensure that developed solutions match the product requirements.Support end-to-end testing efforts, including user acceptance testing (UAT), and verify that issues are resolved.Participate in product testing to ensure alignment with both functional and UX specifications.Data Analysis & Reporting:Analyze product data to identify trends, opportunities, and potential risks.Generate insightful reports, dashboards, and visualizations that highlight key performance indicators (KPIs) to help guide decision-making.Use data-driven insights to support recommendation development and problem-solving.Product Delivery:Define project scope and objectives, including resource requirements and timelines.Monitor product progress and provide regular updates to stakeholders.Identify potential project risks and collaborate with teams to develop mitigation strategies.Continuous Improvement:Keep up to date on industry trends and emerging technologies to drive innovation within the organization.Recommend best practices based on lessons learned from previous projects and industry standards.

We are seeking a Principal AI/LLM Prompt Engineer with deep expertise in Large Language Models (LLMs), prompt design, and AI system architecture.You will lead the design, development, and operation of practical AI Agent systems that accelerate feature development in our accounting products — one of the fastest-growing SaaS solutions in Japan.This role is both hands-on and strategic: you’ll architect scalable AI solutions, guide cross-functional teams, and shape the company’s direction in AI-driven product innovation.Responsibilities: Architect and build AI Agent platforms or applications from the ground up, focusing on automating and enhancing back-office operations through LLM technologies.Design, test, and optimize high-quality prompts, prompt-chaining strategies, and evaluation pipelines for production-grade reliability.Monitor and improve AI agent behavior, ensuring stability, reducing hallucinations, and optimizing performance and accuracy.Champion AI adoption and best practices, establishing workflows, frameworks, and cultural foundations for safe and fast-paced AI development.Collaborate closely with Backend, Frontend, and Infrastructure teams to ensure seamless integration of AI systems into core products.Mentor and coach engineers, fostering capability in prompt engineering, LLM orchestration, and AI evaluation methodologies.Lead AI technical initiatives across teams (BE/FE/AI/SRE), taking ownership of architecture, technical direction, and delivery quality.Act as a Tech Lead for AI-related projects, ensuring alignment with company strategy and technical excellence.

Develop robust, modular, and scalable SDKs across multiple platforms (iOS, Android, JS).Define intuitive, consistent, and well-documented APIs that developers love to integrate.Ensure feature parity and architectural consistency across all platforms.Optimize for speed, stability, memory usage, and low footprint.Work closely with backend, product, and client (game) engineers to align SDK capabilities with product requirements.Quality & Testing: Build automated test suites, integration pipelines, and backward compatibility checks.Conduct code reviews to maintain high code quality and share knowledge with the team.Guide junior engineers and establish best practices for SDK development.Stay updated on platform evolution, propose improvements, and influence SDK strategy.

Tóm tắt vai tròChịu trách nhiệm tổ chức, quản lý và vận hành toàn bộ hoạt động phát triển ứng dụng trong phạm vi phụ trách.Đảm bảo chất lượng sản phẩm phần mềm, tính ổn định – bảo mật của hệ thống, đồng thời phát triển năng lực đội ngũ nhân sự.Gắn kết hoạt động phát triển ứng dụng với định hướng chiến lược chuyển đổi số, sản phẩm kinh doanh và trải nghiệm khách hàng cho người dùngTrách nhiệm chínhQuản lý chiến lược & kế hoạchXây dựng kế hoạch phát triển ứng dụng ngắn hạn – dài hạn phù hợp với chiến lược CNTT và nhu cầu kinh doanh.Đề xuất công nghệ, kiến trúc giải pháp, lộ trình phát triển sản phẩm (roadmap).Quản lý ngân sách phát triển ứng dụng: chi phí nhân sự, hạ tầng, bản quyền phần mềm.Đội ngũ & nhân sựTrực tiếp hỗ trợ chuyên viên phát triển ứng dụng (Front-end, Back-end, Full-stack).Đào tạo, huấn luyện đội ngũ về công nghệ mới, phương pháp lập trình, chuẩn coding & security.Quản lý vận hành & dự ánĐiều phối và giám sát quy trình phát triển phần mềm: từ phân tích yêu cầu – thiết kế – coding – test – triển khai – vận hànhĐảm bảo các sản phẩm/dịch vụ CNTT được phát triển đáp ứng SLA, KPI chất lượng, hiệu suất và bảo mật.Phối hợp chặt chẽ với PMO, BA, QA, UI/UX và các khối kinh doanh để đảm bảo ứng dụng đáp ứng nhu cầu thực tế.Xử lý các sự cố (incident) liên quan đến ứng dụng, đưa ra giải pháp khắc phục nhanh chóng.Quản lý công nghệ & quy trìnhThiết lập và chuẩn hóa quy trình phát triển phần mềm (Agile, DevOps, CI/CD).Áp dụng các best practices về code review, automated testing, security by design.Định kỳ đánh giá, lựa chọn framework, ngôn ngữ, toolchains phù hợp để nâng cao năng suất.Đảm bảo tuân thủ các quy định nội bộ và chuẩn mực quốc tế (ISO, PCI DSS, GDPR, … nếu có liên quan).

Infrastructure Management:Design, develop, and maintain robust and scalable data pipelines to handle large datasets using both on-premise and cloud platforms (e.g., AWS, GCP, Azure).Implement and manage data storage solutions, including databases and data lakes, ensuring data integrity and performance. Data Integration:Integrate data from various internal and external sources such as databases, APIs, flat files, and streaming data.Ensure data consistency, quality, and reliability through rigorous validation and transformation processes. ETL Development: Develop and implement ETL (Extract, Transform, Load) processes to automate data ingestion, transformation, and loading into data warehouses and lakes. Optimize ETL workflows to ensure efficient processing and minimize data latency. Data Quality & Governance: Implement data quality checks and validation processes to ensure data accuracy and completeness. Develop data governance frameworks and policies to manage data lifecycle, metadata, and lineage. Collaboration and Support: Work closely with data scientists, AI engineers, and developers to understand their data needs and provide technical support. Facilitate effective communication and collaboration between the AI and data teams and other technical teams.Continuous Improvement:Identify areas for improvement in data infrastructure and pipeline processes.Stay updated with the latest industry trends and technologies related to data engineering and big data

We are seeking an experienced, strategic, and detail-oriented UX/UI Lead to join our team. In this pivotal role, you will be responsible for leading all stages of our visual and user experience design projectss. You will manage a team of talented designers, set the vision and collaborate cross-functionally to ensure our designs not only delight the users but also meet business goals and satisfy our clients. JOB DESCRIPTIONDesign Strategy: Develop and drive a comprehensive UX/UI strategy that aligns with business objectives and product roadmaps.Team Leadership: Lead, mentor, and inspire a team of UX/UI & Multimedia designers, fostering a culture of innovation, collaboration, and continuous improvement.Hands-On Design: Take a hands-on approach to design, creating wireframes, prototypes, user flows, high-fidelity mockups and other design materials.Research: Plan and execute design workshop, user research, usability testing, and data analysis to inform design decisions and validate concepts.Cross-Functional Collaboration: Partner closely with project managers, engineers, internal and external stakeholders to translate business requirements into intuitive user experiences.Design System Management: Oversee and contribute to the development and maintenance of our design system to ensure consistency and efficiency across all projects.Presentation & Communication: Clearly articulate design decisions, research findings, and strategic thinking to stakeholders at all levels of the organization.

Tham gia triển khai hạ tầng, migration ứng dụng/dữ liệu cho khách hàng Enterprise theo mô hình Landing Zone, với hệ thống DC–DR ở nhiều khu vực.Triển khai & vận hành hạ tầng- Thiết kế, triển khai và mở rộng hạ tầng AWS/Azure theo Landing Zone.- Xây dựng môi trường chạy ứng dụng (VM/Container/Serverless).- Thiết lập hệ thống mạng: VPC/VNet, peering, VPN, Direct Connect/ExpressRoute.Migration ứng dụng- Tham gia đánh giá hệ thống (assessment) và đề xuất phương án migration: rehost, replatform, refactor.- Triển khai migration bằng các công cụ chuyên dụng (AWS MGN, AWS DMS, Azure Migrate…).- Hỗ trợ các đội ứng dụng trong quá trình chuyển đổi và cutover.DevOps & Tự động hóa- Xây dựng pipeline CI/CD, tự động hóa triển khai.- Quản lý IaC bằng Terraform/CloudFormation/ARM/Bicep.Vận hành & bảo mật- Giám sát hệ thống với CloudWatch, Azure Monitor, Prometheus, ELK, Grafana.- Triển khai bảo mật theo best practices (IAM, network security, encryption…).- Troubleshoot sự cố hệ thống phân tán.

We are looking for a Senior/Manager QA QC Engineer with strong expertise in software testing and quality assurance for web and mobile applications. This position requires a high level of proficiency in Japanese (N2+) and a strong commitment to maintaining product quality throughout the software development lifecycle.The QC/QA Manager will be responsible for contributing to manual test case management, communicating with related stakeholders and developing the application in cooperation with the product manager, working in the form of Squad, a small team can quickly and consistently engage in everything from designing to development, testing and operation.■ Job ScopeFor Senior QA/QC Engineer:Perform test analysis, design, and execution for web and mobile applications.Create comprehensive and well-structured test reports.Maintain a high awareness of product quality by improving system requirement definitions and enhancing the UAT process while creating and implementing under your own plan.Engage in projects at early stages to detect and respond quickly to risk factors such as bugs and scheduling issues.Plan and implement measures to prevent the recurrence of problems.For QA/QC Manager:Develop and lead the overall QC/QA strategy, including test analysis, design, and execution for web and mobile applications.Manage and mentor a team of QC/QA engineers, ensuring high performance and professional development.Oversee the performance of test analysis, design, and execution, ensuring comprehensive coverage and high-quality outcomes.Foster a strong quality-driven culture within the team by improving system requirement definition accuracy and enhancing the UAT process.Engage in projects at early stages to identify and address risk factors such as bugs and scheduling issues promptly.Implement measures to prevent problem recurrence, promoting continuous improvement within the QA team.Work closely with development and product management teams to ensure seamless integration of QA processes.Communicate effectively with stakeholders, providing updates on QA activities, risks, and product quality status.Development environmentBackend: Ruby (on Rails), Go, Amazon Aurora (MySQL), Elasticsearch, DynamoDBFrontend: ReactJS, Nuxt.js/Vue.js, Mobile App: Kotlin, Swift, FlutterDeploy/Build: CodePipeline, CodeBuild, CircleCI, GitHub ActionsAutomation Test: AutifyOthers: Swagger, Docker, ZenHub, Figma

We are seeking a visionary Head of Product to lead our product strategy and execution. This role will define the product vision, drive innovation, and ensure alignment with business objectives. You will work closely with engineering, design, and business stakeholders to create reliable and scalable enterprise and cloud-based solutions. Responsibilities:Define and own the product vision, strategy, and roadmap aligned with business objectives.Collaborate closely with engineering, design, and business stakeholders to deliver high-impact products.Drive prioritization and resource allocation across multiple product lines.Act as the primary decision-maker for product direction and ensure alignment with business needs.Mentor and lead product owners and business analysts to ensure consistent execution and delivery.Represent the product function in executive discussions and provide data-driven insights for strategic decisions.

We are seeking a growth-oriented Consulting Sales Manager / Sales Executive to drive new business and expand existing business across one of our largest banking clients in the APAC region. This role is pivotal in driving strategic growth across the bank, helping to reposition Capgemini as a leading Business and Technology Transformation Partner. You’ll collaborate with senior client stakeholders, ideate innovative solutions and shape opportunities that deliver lasting impact for both the client and Capgemini. This is a hunter role with a twist: you will be part of an Account team and inherit an existing book of business to provide a smooth landing, and your mandate is to scale it significantly.

ERP Implementation: Take a critical role in the end-to-end implementation of Microsoft Dynamics 365 ERP, ensuring that the project is completed on time, within scope, and within budget.Collaborate with Stakeholders: Work closely with business leaders, IT teams, and external consultants to gather requirements, define project scope, and ensure alignment with business objectives.Post Go-Live Support: Provide ongoing support to users post go-live, addressing any issues or challenges that arise.System Optimization: Continuously monitor system performance and work on optimizing configurations and processes to enhance efficiency and user experience.Upgrades and Enhancements: Plan and manage system upgrades, patches, and enhancements, ensuring minimal disruption to business operations.

Trusting Social is an AI Fintech pioneer that's revolutionizing credit access in emerging markets. Our mission is "Advancing AI to Meet the Financial Needs of Everyday Consumers with Empathy." We've assessed over 1 billion consumers across four countries, and we're on a mission to provide 100 million credit lines using the power of AI and Big Data.How You'll Make an ImpactThe Credit Insight team consists of highly skilled and passionate data scientists who are committed to staying current with the latest advancements in data science, machine learning, and artificial intelligence. Our team tackles a wide range of areas including credit scoring, fraudulent activity detection, profit optimization, and developing advanced technologies such as conversational AI. By analyzing extensive datasets that capture daily customer behavior, we continuously uncover unique and intriguing machine learning and business challenges. Our goal is to build robust machine learning models that enhance user experience and optimize the profitability of our financial products.What You'll DoTrain and Fine-tune LLM Models: Develop and refine large language models to follow instructions, comprehend customer inquiries, and communicate naturally and effectively.Design and Develop LLM Agents: Create and tailor LLM agents to meet specific business needs and objectives.Build Evaluation Frameworks: Establish comprehensive evaluation frameworks to assess the performance and effectiveness of LLM agents.Feedback Collection and Model Improvement: Develop systems for collecting user feedback and iteratively improving model performance based on this feedback.Develop Other ML Models: Design and implement various types of machine learning models to address diverse business needs.Collaboration and Consultation: Work closely with peers, colleagues, and managers to resolve issues and achieve shared goals.Develop other ML models. 

Design, deploy, and automate infrastructure (on-prem and cloud: AWS/GCP/VNG Cloud) with a focus on availability, scalability, cost efficiency, and security.Build and maintain CI/CD pipelines and Infrastructure as Code (IaC) to streamline deployment workflows and accelerate software delivery.Manage and optimize Kubernetes and Docker environments for mission-critical services.Implement monitoring, logging, tracing, and alerting solutions to deliver observability, reliability, and SLA/SLO compliance.Apply cloud security and compliance best practices aligned with industry standards (e.g., ISO27001, SOX404, ITGC).Lead reliability engineering initiatives, including incident response, root cause analysis, and performance optimization.Continuously improve DevOps workflows, scalability, and reliability, automation, and development productivity.