Việc làm cho sinh viên Đại học Dân lập Lương Thế Vinh

Main ResponsibilitiesThe Deputy SAP Project Implementation Manager is entrusted with the overall management of all new SAP-related implementation projects. This includes overseeing system expansion, deployment of new modules, and system integration. The manager is expected to standardize implementation processes in alignment with Group regulations, while planning and managing project timelines and budgets to ensure high-quality outcomes. A crucial aspect of this role is the coordination with internal departments, vendors, and implementation partners to facilitate seamless collaboration throughout the project lifecycle. Additionally, the manager is responsible for organizing training sessions and handing over the system to the operations team following the successful go-live. Regular reporting on project progress, risks, and outcomes to senior leadership is required.Key DutiesDevelop both overall and detailed plans for each SAP project.Monitor progress, control quality, and resolve issues during implementation phases.Prepare necessary documentation and propose budgets for individual projects.Allocate and coordinate personnel according to the requirements of each phase.Collaborate closely with key stakeholders to ensure project timelines and quality standards are met.Supervise, support, and enhance the capabilities of the internal team.Analyze and assess project risks, proposing suitable solutions when needed.Prepare weekly and monthly reports, and organize meetings to communicate project progress and results.Manage and support the completion of payment documents related to projects, such as contracts and invoices.

Join in complete end to end ERP implementation projectDiscuss with customer to understand business requirementDoing gap analysisPropose solution to customer & do configuration in MS Dynamic 365 to adapt with customer requirementPrepare functional requirement document & functional design documentDo user training, support user acceptance testCooperate with technical team to do customization base on customer requirementDoing pre-sale & demonstration to customer

Install, configure and maintain overall policies Manage daily operations of IT infrastructure including servers and network. Check performance/operation status of servers, network devices, security system. Requests create / remove Account (email & ERP system) for new staff/ leavers. Manage software license and update. Provide daily support to end users on a variety of issues (internet, email, applications, printing....) Identify, research and resolve IT technical problems. Monitor and troubleshoot hardware and software problems. Set-up, configure laptop/PCs for new staff (installation of relevant software, printers....) Support to technically manage office equipment (printers, projectors, copy machines, telephone operator...). Assist on data extraction on ERP system, creating & scheduling of reports Other tasks assigned by management.

* Kinh doanh & Kế hoạch• Xây dựng kế hoạch kinh doanh Năm – Quý - Tháng và phân bổ chỉ tiêu cho nhân sự.• Triển khai và giám sát hoạt động bán hàng theo quy trình chuẩn.• Đề xuất, điều chỉnh chương trình kinh doanh, chính sách bán hàng theo tình hình thực tế.• Báo cáo kết quả kinh doanh, phân tích dữ liệu và đề xuất giải pháp tăng trưởng.* Khách hàng & Thị trường• Xây dựng kế hoạch phát triển khách hàng: Khách hàng mới, Khách hàng cũ và Khách hàng từ marketing.• Xác định thị trường mục tiêu, sản phẩm kênh, tệp khách hàng tiềm năng.• Nghiên cứu thị trường, đối thủ cạnh tranh, xu hướng mua hàng và báo cáo định kỳ.• Tổ chức các hoạt động tìm kiếm khách hàng mới (marketing, telesale, data dự án).• Duy trì mối quan hệ với khách hàng cũ, phát triển khách hàng mới từ nguồn giới thiệu.* Quản lý & Phát triển đội ngũ.• Đào tạo, huấn luyện kỹ năng bán hàng, tư vấn, chăm sóc khách hàng.• Đánh giá hiệu quả làm việc và xây dựng lộ trình phát triển cho nhân viên.• Đưa ra giải pháp nhằm thúc đẩy doanh số bán hàng của từng nhân viên bán hàng trong phòng.• Hỗ trợ kịp thời nhân viên về tiến độ làm việc với khách hàng, các mong đợi của khách hàng về sản phẩm, dịch vụ của công ty.• Tham mưu cho BLĐ trong công tác cơ cấu nhân sự phòng, chế độ, chính sách...nhằm mục đích tối ưu hiệu suất và thực hiện được mục tiêu doanh số chiến lược của công ty.• Phối hợp giải quyết khiếu nại của khách hàng (nếu có);

Trực tiếp quản lý dự án phát triển phần mềm cho các khách hàng của công ty trong các lĩnh vực: Kinh doanh viễn thông, quản lý hạ tầng viễn thông, quản trị doanh nghiệp, tài chính ngân hàng, các giải pháp IoT, Bigdata, AI cho doanh nghiệp.Tiếp nhận yêu cầu từ khách hàng, tổ chức khảo sát, ước lượng nỗ lực, lập phương án, kế hoạch thực hiện, tổ chức quản lý dự án theo đúng quy trình, đảm bảo chất lượng, kế hoạch đặt ra.Trao đổi với khách hàng/ đối tác về các nội dung liên quan đến dự án.Đảm bảo cam kết chất lượng dịch vụ (SLA) với khách hàng về dự án đang phụ trách.Chủ trì nghiệm thu sản phẩm trước khi bàn giao tới khách hàng.Tiếp nhận, xử lý lỗi phát sinh sau triển khai

Ensure quality ownership throughout all development stages to support the Scrum Team in achieving the Sprint Goal.Review requirements and provide early feedback to ensure clarity, completeness, and testability.Design comprehensive test strategies, including manual, API, automation, and performance coverage.Perform risk-based testing to prioritize critical functionalities.Execute both manual and automated tests for web and API layers.Mentor and support Quality Engineers in testing techniques and quality practices.Identify quality metrics and contribute to continuous improvement initiatives.Participate in root cause analysis of production issues and recommend preventive actions.Communicate effectively with cross-functional teams and provide detailed test reports to stakeholders.

Thực hiện công việc tích hợp, phát triển dữ liệu, hỗ trợ vận hành hệ thống công nghệ dữ liệu trong mảng chức năng được giao đảm bảo đúng quy trình, quy định của MB nhằm thực hiện thành công mục tiêu chung của đơn vị.Tự phát triển hoặc phối hợp cùng các nhà cung cấp phát triển/triển khai các giải pháp Công nghệ dữ liệu theo các công việc được phân công.Duy trì hoạt động của các sản phẩm/dịch vụ được phân công.Nghiên cứu, tìm kiếm, tham mưu các giải pháp/sáng kiến Công nghệ dữ liệu và đề xuất nhà cung cấp đáp ứng yêu cầu của công việc.Phát triển, kiểm thử (Unit test), nghiệm thu và hỗ trợ mức 2 (Level 2) các sản phẩm và dịch vụ Công nghệ dữ liệu

About Giao Hàng Nhanh (GHN)Giao Hàng Nhanh (GHN) is one of Vietnam’s leading logistics companies, proudly delivering exceptional services with the commitment: “Smarter, Faster, More Cost-Effective.” GHN empowers millions of businesses to optimize their operations while creating thousands of jobs for the Vietnamese workforce. Founded with the mission to revolutionize the logistics industry and guided by a technology-driven vision, GHN continuously integrates advanced technological solutions into every delivery. This enables streamlined operations, enhanced delivery performance, and a fast, safe, and efficient customer experience - serving a wide range of clients, including E-commerce platforms, retailers, and individual consumers. With a nationwide network spanning all 63 provinces and cities, a forward-thinking innovation strategy, and robust logistics infrastructure, GHN continues to affirm its position as a pioneer in Vietnam’s rapidly growing E-commerce and logistics sector. Why Join GHN?Be part of a forward-thinking company that is shaping the future of e-commerce delivery. At GHN, you’ll have the opportunity to work on impactful projects, utilize state-of-the-art technologies, and collaborate with top talent in a dynamic and innovative environment. About the RoleWe are hiring strong engineers to help build our next-generation logistics payment platform, a mission-critical system processing millions of transactions daily.Depending on your seniority, you will join us as a Software Engineer or Staff Engineer:As a Software Engineer, you will contribute to building scalable, reliable, and high-performance features.As a Staff Engineer, you will drive system architecture, lead technical decisions, and guide teams toward engineering excellence.You will work closely with cross-functional teams to turn business needs into impactful, production-ready solutions that power nationwide logistics operations. Key ResponsibilitiesStaff/ Senior Software EngineerLead architecture and technical design for payment systems, ensuring scalability, reliability, and resilience.Drive technical strategy across API design, high-throughput transaction flows, and system integrations.Guide incident management, root cause analysis, and major refactoring efforts.Uphold engineering standards through mentorship, design reviews, and cross-team knowledge sharing.Partner with Product and Engineering leadership to define roadmaps and execute complex initiatives end to end.Software EngineerDesign and build scalable backend payment features, including transaction processing, settlement, reconciliation, and reporting.Develop secure, well-documented APIs for internal and external integrations.Monitor and improve system performance; troubleshoot production issues and execute RCA.Write clean, testable code; contribute to code reviews and documentation.Collaborate in Agile teams with Product, FE, QA, and DevOps to deliver high-impact features. 

Tham gia phát triển hệ thống render mockup/preview sản phẩm ghép artwork vào sản phẩm).Chuyển giao diện từ thiết kế (Figma/XD) sang sản phẩm thực tế với độ chính xác cao.Xây dựng, bảo trì và tối ưu giao diện người dùng (UI) liên quan đến thao tác hình ảnh, layout, preview.Phát triển backend API phục vụ lưu, xử lý và render mockup.Tối ưu hiệu suất pipeline render (client-side hoặc server-side), giảm thời gian tải, tăng độ mượt.Tích hợp các thư viện xử lý hình ảnh: PSD, Canvas API, Fabric.js, Three.js hoặc tương đương.Phối hợp với team thiết kế để hiểu logic mockup và yêu cầu hiển thị.Xây dựng engine xử lý ảnh mockup sản phẩm Print On Demand (POD) (Thực hiện perspective transform, masking, blend mode).Phát triển API cho phép cá nhân hóa mockup (personalized) sử dụng NodeJS hoặc Python.

Design and develop Android applications following clean architecture principles (e.g. MVVM, MVI).Implement dependencies using DI frameworks such as Hilt or Dagger.Handle asynchronous programming and multithreading using Kotlin Coroutines and Flow.Work with Jetpack libraries, including Navigation and Jetpack Compose, to build scalable and modern UI.Analyze logs, identify root causes, and reproduce bugs for debugging and issue resolution.Collaborate with designers, product managers, and other developers to deliver high-quality features.Continuously learn and apply new technologies and best practices.

Perform development activities to build new and maintain existing WEB-based software systems using Java Frameworks, Front-end frameworks and databases.ResponsibilitiesParticipate in developing web applications, new modules, features from beginning till end in the functional system (It can be Full-Stack from Frontend to Backend services and databases depends on skills and experiences).Participate in analyzing requirements, design architecture, perform coding, unit tests, testing and technical documentation in line with user & system requirements to deliver source code, documents and test scripts that meet client’s needs and meet the release milestone.Perform bugs fixing, maintaining, enhancement existing WEB application modules.Assist Team Leads, Managers in reporting project status and deliverable estimations.Perform code review and supports colleagues.Conduct training & coaching team members in software engineering development if required.Supports team leads on maintaining development environments if required to make sure smooth development.Perform 3rd level support in and after office hours if needed to ensure fastest possible recovery to service. 

- Manage and support infrastructure-related systems such as CCTV, PA, PBX, eWork, and access control systems to ensure stable operation and integrate with corporate IT environment- Monitor and maintain IT infrastructure systems including server, network, storage, backup, and cloud environment- Implement and support infrastructure projects such as upgrade, migration- Troubleshoot and resolve system incidents to ensure minimal downtime and timely recovery- Prepare and maintain documentation, standard procedures, and reports to support audit, planning and continuous improvement** BENEFITS:- Competitive salary package with your experience and skills- Health Care package from Panasonic Appliances Vietnam- Annual salary increase, bonus 2 - 3 times a year, bonus on holidays of the year- 100% salary in probation time & participate in social insurance with 100% of basic salary (+ allowances for foreign languages, environment... if any) according to Labour Law- Allowances of Languages certificate (English, Japanese, Chinese), master's degree in Japan; Life allowance- Many interesting training courses from Panasonic Corporate- Company bus pick up from Ha Noi, Hai Duong, Hung Yen, Bac Ninh- All Sundays & 02 - 04 Saturdays off per month- Free TOEIC test (depend on annual plan)- Various events such as travel, sports day, family day, annual event organized by the company, etc

vrs VietAdjusters is one of Vietnam’s top loss‑adjusting firms and part of vrs Adjusters – one of the world’s top‑3 loss‑adjusting networks (300+ offices across 140+ countries). Fresh off our win as “Adjuster of the Year – Vietnam”, we’re recruiting bright graduates ready to turn accounting skills into real‑world impact.What You’ll Get:• Attractive salary & benefits package – significantly above market rates.• Career acceleration & global learning – company‑sponsored international degrees and professional certifications.• Cutting‑edge tools & global network – AI‑powered claim tech and knowledge sharing with vrs worldwide partners.• Dynamic, supportive, politics‑free environment – flat hierarchy and real responsibility from day one.What You’ll Do:• Audit & Analyse – Check ledgers and documents to calculate insurance losses.• Investigate on Site – Visit incident locations, collect evidence, take photos, and talk to people involved.• Report Clearly – Summarise findings in short, accurate English reports.• Work with People – Liaise with policyholders, insurers, and contractors to close claims fairly.

Role overviewYou will be a core member of a forward-deployed engagement team that onboards enterprise customers (often highly regulated, high-maturity organizations such as banks) to an AI Data Analyst SaaS platform. Your primary responsibility is to design and implement robust data models and connections so the AI Data Analyst can reliably compute business metrics and answer analytical questions. This is a high-touch role combining deep technical data modeling and engineering with stakeholder management, requirements gathering, testing/validation, risk mitigation, and project delivery.What you’ll do — key responsibilities• Customer liaison & discovery • Lead discovery sessions with technical and non-technical stakeholders to understand source systems, data lineage, business definitions, and reporting needs. • Map business KPIs/metrics to available data and identify gaps or remediation required.• Data modeling & metric engineering • Design logical and physical data models (facts, dimensions, hierarchies, slowly changing dimensions) that reflect customer business semantics and support the AI Data Analyst’s metric definitions. • Define canonical metric specifications (metric definition, calculation SQL/DSL, cohort logic, edge cases).• Platform integration • Implement data connections, ingestion pipelines, and schema mappings into the SaaS platform (or customer’s cloud data layer) ensuring freshness, reliability, and observability. • Configure dimensions, attributes, and metric metadata inside the platform so the AI models can consume and reason about the data.• Validation & QA • Develop and execute test plans to validate AI Data Analyst outputs against agreed-upon metric specs and ground-truth reports; quantify accuracy and identify root causes for discrepancies. • Create automated and manual validation suites (unit tests, reconciliation queries, data quality checks).• Project & stakeholder management • Create project plans, manage timelines, set realistic expectations, and communicate status/risks to customers and internal stakeholders. • Facilitate sign-offs on metric definitions, data readiness, and production cutovers.• Risk, security & governance • Identify data and model risks (PII exposures, inference errors, stale data) and put mitigation controls in place. • Ensure implementations comply with customer security, data governance, and regulatory requirements.• Knowledge transfer & documentation • Produce clear runbooks, metric spec docs, and onboarding artifacts. Train customer users and internal support teams for ongoing operations.• Continuous improvement • Feed product/engineering with requirements and lessons learned to improve platform data modeling capabilities and onboarding playbooks.

Develop and maintain backend systems using Java 21+ and Spring Boot. Build and integrate RESTful APIs with databases and third-party systems. Participate in all stages of the software development lifecycle: analysis, design, coding, testing, and deployment. Work closely with team members (frontend, QA, DevOps) to ensure product quality. Write clean and well-documented code. Improve system performance and stability over time.

Key ResponsibilitiesAI ENGINEERWork closely as a project team as the main contributor in the entire lifecycle of data science projects, from gathering business requirements to solution delivery, and deliver project outcomes to internal stakeholders or external customers.Engages with clients to understand business needs, present findings, and align technical work with stakeholder goals.Provides structured feedback to junior members, supports onboarding, and contributes to skill-building within the project team.Developing scalable AI systems and designing/building algorithms that automate predictive data models.Creating and managing the AI development and production infrastructure, including automating AI infrastructures for data science teams.Participating in all phases of AI solutions development, from requirements definition and design to development, deployment, integration, maintenance, performance tuning, and monitoring.Collaborating extensively with cross-functional teams, including data scientists, software engineers, and product managers, to define project requirements, ensure seamless progress, and facilitate AI adoption and best practices.Driving scalability improvements and introducing new capabilities in machine learning platforms, often working across the full stack on tools and infrastructure that empower machine learning teams.DATA SCIENTISTWork closely as a project team to lead in the entire lifecycle of data science projects, from gathering business requirements to solution delivery, and deliver project outcomes to internal stakeholders or external customers.Engages with clients to understand business needs, present findings, and align technical work with stakeholder goals.Owns planning of assigned modules, contributes to task breakdown, estimation, and milestone alignment, and supports backlog grooming discussions.Leads development of a complete module or sub-system (e.g., full model training pipeline or certain solution direction). Can propose solution design, test, and iterate independently. Coordinates with project lead to align with project needs.Proactively explores and evaluates new tools or methods relevant to the problem domain and integrates them into module-level components with minimal supervision.Provides structured feedback to junior members, supports onboarding, and contributes to skill-building within the project team.Proactive in contributing to the growth of internal capabilities (e.g., training, knowledge-sharing, framework design).

- Phát triển service cho các khách hàng lớn của Nhật Bản.- Đảm bảo service có hiệu năng và khả năng đáp ứng cao.- Design, code, và maintain.- Tự động hóa các task phát triển như test, build, deploy.

We are a global product team focused on building payment and e-commerce solutions that make an impact. We have dedicated our efforts to assisting merchants in running online businesses and reaching customers in every country in the world.Who Are We Looking ForWe’re looking for a proactive and results-driven Product Manager who thrives in fast-paced environments and is passionate about building impactful solutions. You should be strategic, customer-focused, and execution-oriented — capable of translating business needs into product strategy, aligning cross-functional teams, and driving the end-to-end product lifecycle from discovery to launch. If you excel at identifying opportunities, shipping valuable features, and continuously improving products based on data and feedback, this role is for you.HONESTY and TRUST are core to who we are. We expect transparent and truthful communication from all our team members.LEARNING and CURIOSITY are essential for growth here. You bring fresh ideas, creativity, and a desire to develop daily, absorbing knowledge from those around you.Multilingual and Multilingual? Even better. You embrace international collaboration and thrive in global environments. Bonus points if you have cross-border experience or fluency in multiple languages.Position OverviewAs the Product Manager, you will drive the development and enhancement of our AI-powered global identity platform. You'll collaborate with cross-functional teams to deliver a product that not only meets rigorous compliance standards but also provides an exceptional user experience across our diverse client base spanning 190+ countries.What You Will DoLead the strategic planning and execution platform development, ensuring alignment with our vision of becoming the gold standard in identity verificationOrchestrate the implementation of advanced AI/ML technologies that power our automated verification processes, including state-of-the-art OCR, Face ID, Voice ID, Anti-deepfake, etcManage the development of our multimodal verification capabilities spanning ID document processing, face liveness verification, and AML screening across 200+ languagesCoordinate with engineering teams to enhance our microservice architecture, ensuring scalability and flexibility as our user base growsDrive the continuous improvement of our REST APIs and SDKs for major platforms, facilitating seamless integration for our clientsCollaborate with data scientists and AI specialists to refine our dynamic risk assessment models and ensure they remain at the cutting edge of fraud detectionBalance the implementation of automated verification with human expert oversight to maintain the highest levels of accuracy and integrityEnsure all platform developments adhere to global compliance standards and prioritize data privacy and security