Việc làm cho sinh viên Đại học Trà Vinh

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.

1. Tham mưu, thực hiện các công việc được phân công theo đúng chức năng, nhiệm vụ của Bộ phận Quản lý nhân sự:a) Xây dựng định mức, kế hoạch sử dụng nhân sự hàng năm.b) Quản lý công tác nhân sự và các hoạt động liên quan đến quan hệ lao động (như bổ nhiệm, tái bổ nhiệm, miễn nhiệm, phân công công tác, điều chuyển nhân sự, chuyển đổi chức danh, điều động, luân chuyển, biệt phái,...Theo dõi các vấn đề liên quan đến hợp đồng lao động, nghỉ phép, nghỉ không lương, nghỉ hưu,...)c) Quản lý chính sách, mô hình quản lý nhân sự.d) Phối hợp quản lý và triển khai quy hoạch phát triển năng lực đối với nhân sự tiềm năng (Thực hiện thu thập dữ liệu để phối hợp với các đơn vị liên quan quy hoạch, xây dựng, quản lý dữ liệu nhân sự tiềm năng cho các vị trí Cán bộ quản lý; thực hiện các thủ tục với Trung tâm Đào tạo triển khai hoạt động đào tạo cho nhân sự quy hoạch, tiềm năng,...).2. Nội dung khác: báo cáo, thực hiện các công việc khác theo sự phân công của cấp quản lý.

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).

• Review and provide legal advice on tender documents• Prepares contracts for internal review and approval and ensures compliance with company policies as well as applicable laws or regulations• Review ongoing cases and advice management accordingly• Liaise with relevant departments to ensure that where legal risks have been identified, appropriate courses of actions have been taken• Provide legal protection and risk management advice to management especially on contract management• Provide timely update/analysis for business opportunities/ limitations under the new rules & regulations, and control properly the implementation of action plans for new/ updated regulations• Perform any other duties/projects as assigned by Head of Legal Department.

- 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 

Chịu trách nhiệm định hướng, giám sát, điều phối và phát triển các dự án, sản phẩm hoặc dịch vụ AI trong ngân hàng.Nhiệm vụ chính:1. Tham gia xây dựng và triển khai định hướng cho các dự án AI2. Lập kế hoạch chi tiết và quản lý các dự án phát triển và ứng dụng AI.3. Giám sát và hỗ trợ đội ngũ phát triển trong việc phát triển và triển khai các giải pháp AI, đảm bảo chất lượng và hiệu suất cao nhất.4. Làm việc chặt chẽ với các phòng ban liên quan tại Trung tâm AI (LLM, NLP, Computer Vision, Chatbot, R&D.v.v. và các đơn vị khác) để đảm bảo sự phối hợp nhịp nhàng và tối ưu hóa nguồn lực.5. Cập nhật và nghiên cứu các công nghệ AI mới nhất, áp dụng vào các dự án thực tế.6. Đảm bảo chất lượng và hiệu suất cho các dự án AI, thực hiện kiểm tra và đánh giá định kỳ.7. Xác định và đánh giá các rủi ro trong quá trình triển khai dự án.8. Tham gia tuyển dụng nhân tài, huấn luyện và phát triển đội ngũ

*** : - Đảm nhận tiếp nhận thông tin lỗi từ phía khách hàng, phân tích nguyên nhân để tiến hành khắc phục, cải tiến- Cụ thể chi tiết sẽ trao đổi trong buổi phỏng vấn

1. :• Kiểm soát chất lượng thi công của Nhà thầu trong phạm vi quản lý• Kiểm soát ATLĐ, VSMT, PCCC trong phạm vi quản lý• Kiểm soát tiến độ thi công trong phạm vi quản lý.• Kiểm soát chi phí biện pháp thi công tại hiện trường• Kiểm soát và ký xác nhận đầu mục công việc (Hồ sơ TQT, Hồ sơ phát sinh,...) cho Nhà thầu• Kiểm soát, quản lý tài sản tại Bộ phận, Kiểm soát vật tư CĐT cấp tại DA• Kiểm tra chất lượng Vật liệu đầu vào của vật tư, thiết bị; tuân thủ các quy định kiểm soát lấy mẫu và thí nghiệm• Quản lý công tác lưu trữ hồ sơ trong phạm vi quản lý.• Quản lý nhân sự: Phân công công việc; đào tạo hướng dẫn CBNV trong bộ phận đảm bảo hiệu quả, năng suất tối đa; đánh giá chất lượng công việc của CBNV trong phạm vi quản lý2. Các Ban QLXD: Hà Nội (Đan Phượng, Xuân Phương, Cổ Loa, Thạch Thất), Hải Phòng (Dương Kinh, Cát Hải), Quảng Ninh (Móng Cái), Hà Tĩnh (Vũng Áng), Thanh Hóa, Cần Giờ, Long An (Đội trưởng Kỹ thuật hiện trường)