Việc làm cho sinh viên Đại học Tiền Giang

We are looking for a Senior Fullstack Developer (Node.js / React) with the potential to step into a Tech Lead role ResponsibilitiesDay-to-Day Functional DutiesCollaborate closely with internal and external project members to provide technical insights and deliver solutions aligned with business goals.Deeply understand system architecture, refine technical standards, and promote coding best practices.Proactively detect and resolve system issues, mitigate technical risks, and drive continuous improvements.Design and build scalable backend services that ensure top performance, stability, and reliability.Develop and maintain complex, high-performing web services and interfaces to enhance customer experience.Mentor teammates through code reviews, knowledge sharing, and best practice guidance.Continuously improve system usability and performance while staying updated on new technologies and trends.Reporting & MonitoringMaintain clear, detailed technical documentation for all software, systems, and processes.Work closely with the PDM for consistent reporting, planning, and project tracking.Prepare and present project reports to keep stakeholders informed of progress and performance.Cooperation & CollaborationCommunicate and collaborate effectively across teams, departments, and stakeholders.Champion company standards and technical excellence across all projects.Coordinate seamlessly with third-party development partners to ensure smooth daily operations.

About GHNGiao Hang Nhanh (GHN) is one of Vietnam's leading logistics enterprises, confidently providing superior services: "SMARTER, FASTER, MORE COST-EFFECTIVE." We support millions of businesses in optimizing their operations and create thousands of jobs for the Vietnamese people.Established with the mission to revolutionize the logistics industry and driven by a technology-centric development approach, GHN continuously applies advanced technological solutions to every order. This aims to streamline operational processes, enhance delivery efficiency, and provide fast, secure, and effective service experiences for all customer segments – from e-commerce platforms and retailers to individual consumers.With a nationwide network covering all 63 provinces and a strategy of continuous innovation alongside a robust infrastructure system, GHN has been affirming its pioneering position in the rapidly growing e-commerce and logistics sectors in Vietnam.Why Join GHN?This is a pivotal opportunity to join a rapidly growing e-commerce delivery leader in Vietnam, where your contributions will directly impact our strategic direction and market position. You will be part of a team that embraces cutting-edge technologies, data-driven innovation & discruption to solve real-world problems and enhance millions of lives. We offer a dynamic and collaborative environment where you can leverage your expertise, grow professionally through challenging projects, and make a significant impact on our success.About the AI & Data TeamAt GHN, our highly motivated AI & Data team is dedicated to establishing GHN as the fastest, most reliable, and convenient delivery service in Vietnam. We achieve this by developing and adopting advanced, data-driven decisions and solutions, making data capability a core business driver for operational efficiency, scalability, and customer trust and happiness.Job SummaryWe are seeking a highly skilled and experienced Senior Data Software Engineer to join our dynamic AI & Data team. This pivotal role will be responsible for expanding and optimizing our big data collections and flows, designing scalable data pipeline architectures, and ensuring the robust integration of data for AI/ML-powered applications. The ideal candidate is an expert in big data engineering who thrives on optimizing complex data systems and building foundational infrastructure from the ground up to develop, deliver, and strengthen our AI & Data Platform. This platform is crucial for enabling all GHN’s users - employees, drivers, and customers - through advanced and robust data-driven insights and solutions. The Senior Data Engineer 2 will provide technical expertise, mentor junior team members, and collaborate closely with Data Scientists, ML Engineers, and other cross-functional teams to ensure optimal data delivery architecture and quality for ongoing AI/ML initiatives.Key ResponsibilitiesBig Data Platform Design & Optimization:Design, build, and maintain optimal big data pipeline architectures that are crucial for GHN's AI/ML solutions, ensuring high availability, scalability, and efficiency.Develop robust ETL/ELT solutions for optimal extraction, transformation, and loading of high-quality data from a wide variety of internal and external data sources (e.g., MongoDB, Postgres, e-commerce sites, social platforms).Optimize data writing and reading performance across various database systems and data lakes to support real-time and batch processing requirements.Make technical choices and build systems and tools to manage the entire data lifecycle of large, complex datasets.AI/ML Data Application Integration & Development:Collaborate closely with Data Scientists and ML Engineers to design and implement data solutions that support the development, training, and deployment of AI/ML models (e.g., demand forecasting, logistics optimization, fraud detection, customer segmentation).Oversee and contribute to the integration of AI/ML models into the broader product infrastructure and user experience, ensuring seamless deployment and operation.Develop and implement data pipelines specifically for AI/ML model data preparation, including feature engineering, data enrichment, backfilling, merging, deduplicating, and ensuring data compatibility and format for various model inputs.Data Quality, Governance & Monitoring:Implement and monitor robust data quality frameworks to ensure data accuracy, consistency, and integrity across all data sources, identifying and resolving potential issues proactively.Design and apply data governance solutions (e.g., using Apache Ranger) to manage data access, privacy, and compliance for large-scale projects, including ensuring legal and regulatory adherence.Build and customize metrics for monitoring and alerting tools to support incident detection and ensure the consistency and reliability of data services and pipelines.Technical Expertise & Collaboration:Provide technical guidance and mentorship to junior data engineers, fostering their professional development and promoting best practices in data engineering and AI/ML data readiness.Work closely with cross-functional teams including Data Analysts, Data Scientists, Product Managers, to understand business requirements and translate them into robust, data-driven solutions.Identify, design, and implement internal process enhancements through automation, optimizing data delivery and infrastructure for greater scalability and efficiency.Stay current on published state-of-the-art big data technologies and AI/ML data engineering techniques for continuous platform improvement.

System Analyst :Requirement Gathering and Analysis, System Integration Testing, API testing, DocumentationJob Responsibilities:Prepare documentation and gather detailed requirement from client. Perform unit testing, system integration testing as well as conducting User Acceptance Testing. Work with developer for bugs fix, system enhancement, define functional requirements and test created solutions. Prepare functional design and deliverables like prototype, functional specifications, test scripts and user guides. Conduct root cause analysis of issues.

• Khảo sát và tiếp nhận thông tin về luồng nghiệp vụ, hành vi, thói quen của khách hàng khi thực hiện nghiệp vụ công việc.• Phân tích, tổng hợp thông tin về nghiệp vụ đã thu thập và mô tả thành tài liệu nghiệp vụ.• Đào tạo nghiệp vụ cho các thành viên của dự án để đảm bảo tất cả thành viên hiểu và nắm rõ nghiệp vụ, luồng nghiệp vụ của khách hàng.• Xây dựng kịch bản dùng thử sản phẩm theo luồng nghiệp vụ.• Dùng thử thiết kế đảm bảo thiết kế đáp ứng tốt nhất yêu cầu của người sử dụng về nghiệp vụ và tính dễ dùng.• Dùng thử sản phẩm đảm bảo đáp ứng được nghiệp vụ, tính dễ dùng trước khi chuyển giao cho khách hàng.• Đào tạo nghiệp vụ cho nhân viên kinh doanh, nhân viên tư vấn, hỗ trợ nghiệp vụ sản phẩm.

The OpportunityAs a Solution Architect, you will be the key technical leader driving complex digital transformations. Based in Ho Chi Minh City, Vietnam, you will engage directly with clients, diagnose their business challenges, and architect scalable, high-performance, and feature-rich commerce and experience platforms. This role offers the chance to remain hands-on, dictate technical direction across a diverse landscape of modern technologies, and significantly influence our company's solution portfolio.Key Responsibilities1. Solution Architecture and DesignPlatform Agnostic Strategy: Design and propose optimal technical solutions tailored to customer needs, utilizing the most appropriate platform(s) among SAP ERP/ SAP Commerce/Adobe Experience Platform or custom Java/Microservices.Technical Roadmap: Define and own the end-to-end technical architecture, ensuring solutions are scalable, secure, highly available, and aligned with modern headless/API-first principles.Hands-on Engagement: Maintain hands-on technical proficiency by reviewing critical code components, setting up initial architecture blueprints, and solving complex integration challenges (e.g., integrating OMS, PIM, Payment Gateway, ERP systems).2. Technical Leadership and MentoringTeam Enablement: Mentor and coach technical leads and developers across various stacks (Java, cloud services), establishing high standards for code quality, architectural patterns, and performance tuning.Technical Governance: Oversee implementation teams to ensure adherence to defined architecture, best practices, and project timelines.Knowledge & Adoption: Drive the adoption of new technologies and methodologies (e.g., serverless, modern DevOps practices, cloud-native design) within the delivery teams.3. Customer Engagement and Pre-SalesBusiness Translation: Serve as the technical expert during client discussions, effectively translating complex business requirements and customer pain points into clear, executable technical blueprints.Pre-Sales Leadership: Play a pivotal role in pre-sales activities, including presenting technical solutions, contributing to proposals (RFPs/RFIs), providing detailed effort estimates, and building trust with prospective clients.

Our Testers work with project teams to ensure software quality through systematic test planning, execution, and defect tracking, ensuring functionality, performance, and reliability of applications before deployment. With deep knowledge of various types of applications, databases, and operating systems, they maintain high standards of product excellence and user satisfaction. As an Automation Test Lead at Endava, you will be in charge of building, developing, and implementing automated tests to assure the quality of our software applications. You will take part in specific projects and work directly with our global stakeholders. Responsibilities:Analyze user stories, use cases, and requirements to ensure clarity, completeness, and testability.Collaborate closely with cross‑functional team members to define, refine, and optimize test cases.Plan and execute testing at all levels, including functional, integration, system, and regression testing.Lead and manage client interactions, ensuring clear communication and alignment on expectations.Design, develop, maintain, and enhance automation scripts using various frameworks and programming languages.Identify, document, and track software defects and inconsistencies throughout the development lifecycle.Apply quality engineering principles and best practices within an Agile environment.Prepare and maintain clear, comprehensive testing documentation and provide ongoing support as needed.

As successful candidatesWe are looking for experienced Senior AUTOSAR Engineers who aspire to build a long-term career in Japan. This position offers a unique development path combining technical expertise and Japanese language proficiency, preparing you for onsite opportunities with leading automotive projects in Japan. Career Development ProgramFor candidates with strong Embedded base (Non-AUTOSAR) + Japanese N5:Phase 1: AUTOSAR training (2–3 months) at AVE or other BU locations.Phase 2: Japanese language training (7 months).For candidates with AUTOSAR experience but no Japanese: Full-time Japanese language training (9 months). After successfully completing the study program, once language proficiency meets requirements, you will interview for long-term onsite projects in Japan.

Trong suốt hành trình gần 31 năm tiên phong, MISA tự hào là công ty hàng đầu Việt Nam cung cấp giải pháp chuyển đổi số toàn diện SaaS (Software-as-a-Service) với gần 60 sản phẩm, ứng dụng cho 350.000 khách hàng là cơ quan nhà nước, doanh nghiệp, hộ kinh doanh và 3.5 triệu khách hàng cá nhân tại Việt Nam và 22 quốc gia trên thế giới. MISA vinh dự khi được đồng hành cùng các Bộ, ban, ngành trong chương trình Chuyển đổi số quốc gia, tự động hóa hoạt động quản lý, kinh doanh, giúp nâng cao năng suất và góp phần vào sự phát triển chung của Việt Nam.Với tinh thần "Nỗ lực sáng tạo vì một thế giới thông minh bằng sản phẩm công nghệ trí tuệ Việt", chúng tôi mong muốn được đồng hành cùng bạn, kiến tạo nên những thành tựu đột phá.Trách nhiệm thiết yếuĐảm bảo xây dựng và tích hợp các tính năng AI vào sản phẩm, nâng cao trải nghiệm người dùng và hiệu suất ứng dụng.Đảm bảo xác định chiến lược và lộ trình phát triển sản phẩm AI phù hợp với mục tiêu chiến lược của công ty.Đảm bảo nghiên cứu thị trường, nắm bắt xu hướng AI và đề xuất ý tưởng sáng tạo để nâng cao giá trị sản phẩm.Công việc thiết yếuXây dựng và quản lý lộ trình phát triển sản phẩm AI theo nhu cầu thị trường.Phối hợp với đội kỹ thuật để thiết kế và triển khai tính năng AI tối ưu.Thu thập, phân tích phản hồi khách hàng để cải tiến sản phẩm AI liên tục.Nghiên cứu xu hướng AI, đề xuất tính năng mới để giữ lợi thế cạnh tranh.Lựa chọn và quản lý công cụ, quy trình hỗ trợ phát triển sản phẩm AI

Tham gia phân tích yêu cầu, làm việc với BA/PM/Dev để hiểu mục tiêu sản phẩm và đặc thù từng thị trường khách hàng. Dẫn dắt quy trình thiết kế trải nghiệm: nghiên cứu người dùng, xây dựng persona, user journey, sitemap, flow. Thiết kế wireframe, prototype, hi-fidelity UI cho web/app theo chuẩn UX và guideline của khách hàng/dự án. Xây dựng và quản lý design system, bảo đảm tính nhất quán trên đa nền tảng. Kiểm thử UX, đánh giá usability, đề xuất cải tiến trải nghiệm người dùng. Phối hợp chặt chẽ với team dev trong quá trình triển khai, hỗ trợ kiểm tra giao diện sau khi lập trình. Tham gia workshop với khách hàng quốc tế, trình bày giải pháp thiết kế. Cập nhật xu hướng UI/UX và đề xuất cải tiến cho quy trình thiết kế nội bộ.

As a backend engineer, you will be working within a specific problem where you will design, develop, and deploy backend services with a focus on scalability, high availability, and low latency.Solving complex technical and business problems and learning new technology and frameworks.Be part of a team that will take full responsibility for the features you own.Design, develop, test, deploy, monitor, and improve, you are responsible for the full life-cycle of your product – build it, own it.

Work directly with Product Owner to architect and enhance the CRM data platform, integrating data from multiple sources including trading activities, customer touchpoints, and marketing channels.Work directly with our Data Scientists and Investment Advisory department to build innovative product features with Machine Learning and Artificial Intelligence.Work with stakeholders throughout the organization to catalog and collect data and identify opportunities for leveraging company data to drive business solutions.Analyze user journeys, engagement patterns, and lifecycle data to optimize campaign performance, improve user segmentation, and refine automation workflows.Develop and maintain data synchronization pipelines between CRM, marketing platforms, and internal systems to ensure data accuracy and real-time availability.Build and monitor dashboards and KPIs for CRM operations, marketing effectiveness, and customer satisfaction using BI tools and analytics frameworks.

Design, train, evaluate, and deploy computer vision models for face matching (selfie ↔ document / reference image) and face liveness detection / anti-spoofing (detecting attacks from photos, replay, masks, deepfake, etc.).Optimize models for on-device inference (mobile, edge) — focus on resource constraints (latency, memory, compute).Build data pipelines: image/video collection, preprocessing, augmentation, alignment, quality checks, normalization.Monitor model performance in production: metrics like FAR / FRR, ROC / AUC, error cases under challenging conditions (low light, extreme pose, blur).Collaborate with mobile / SDK / backend teams to integrate models securely into client applications.Research state-of-the-art techniques in face recognition, spoof detection, domain generalization, and apply to real-world constraints.Continuously iterate and improve based on real-world feedback, edge cases, and adversarial examples.

We are collaborating with a European technology company building a digital platform that leverages IoT, AI, and cloud technologies to support sustainability and environmental optimization.The platform aims to help organizations monitor, analyze, and improve their operations with data-driven insights — contributing to a greener, smarter future.You will join the project as part of the InApps team, working directly with the client’sCEO and tech team to develop, optimize, and scale backend systems that power real-time IoT data and AI-driven features.  Your Responsibilities:Design, develop, and maintain backendsystems using PHP (Laravel).Build scalable APIs and services, ensuring high performance and reliability.Apply SOLID principles andclean architecture in all development work.Optimize application performance, queries, and resourceusage.Deploy and manage containers using Docker.Collaborate with frontend, product, and data teams to ensure cohesive delivery.(Bonus) Contribute to features integrating AI or machine learning components.

We are seeking an experienced and highly skilled QA Automation Technical Manager to lead our embedded video AI quality assurance efforts.This role involves designing, implementing, and managing automated testing strategies for cutting-edge AI-powered video solutions, ensuring the delivery of robust and reliable products.Job Description:Lead and mentor a team of QA automation engineers, fostering a culture of technical excellence and continuous improvement.Develop, implement, and maintain comprehensive automation test strategies and frameworks for embedded video AI systems, including hardware-in-the-loop and software-in-the-loop testing. Define and track key quality metrics, reporting on progress and identifying areas for improvement.Collaborate closely with embedded software development, AI/ML engineering, and product teams to integrate quality assurance throughout the product development lifecycle (SDLC).Design, develop, and execute automated test scripts for functional, performance, reliability, and security testing of embedded video AI applications.Drive the selection and implementation of appropriate QA automation tools and technologies.Perform root cause analysis of defects, working with development teams to ensure timely resolution.Stay current with industry best practices, emerging technologies, and trends in QA automation, embedded systems, and AI.Contribute to the continuous improvement of QA processes and methodologies.Manage project priorities, deadlines, and deliverables for the QA automation team.

Participate in developing and maintaining software applications using the C language within a Linux environment.Contribute to projects related to LAN/WAN networking.Work on network systems, with a focus on sending and receiving packets via TCP/UDP.Assist in troubleshooting and resolving software-related issues.

HO25.531 - Head of Computer Vision Technology Department Chịu trách nhiệm định hướng, giám sát, điều phối và phát triển các dự án, sản phẩm hoặc dịch vụ AI trong ngân hàng, tập trung vào lĩnh vực Công nghệ Xử lý Ảnh - Computer Vision.Nhiệm vụ chính:1. Trực tiếp tham gia phát triển các sản phẩm, dịch vụ ứng dụng AI.2. Tham gia xây dựng và triển khai định hướng cho các dự án AI - Computer Vision3. Lập kế hoạch chi tiết và quản lý các dự án phát triển và ứng dụng AI.4. 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.5. Làm việc chặt chẽ với các phòng ban liên quan (thuộc Trung tâm AI (NLP, Chatbot, R&D.v.v. và các đơn vị khác) để đảm bảo sự phối hợp nhịp nhàng và tối ưu hóa nguồn lực.6. Cập nhật và nghiên cứu các công nghệ AI mới nhất, áp dụng vào các dự án thực tế.7. Đảm bảo chất lượng và hiệu suất cho các dự án AI, thực hiện kiểm tra và đánh giá định kỳ.8. Xác định và đánh giá các rủi ro trong quá trình triển khai dự án.

1. Tóm tắt vai tròKỹ sư Cloud triển khai, tự động hóa và duy trì hạ tầng cloud để đẩy nhanh tiến độ áp dụng cloud2. Trách nhiệm chínhTriển khai và duy trì các giải pháp cloud phù hợp với mục tiêu của tổ chức và thông lệ tốt nhất về cloudCấu hình các dịch vụ và tài nguyên cloud theo yêu cầu của dự ánXây dựng và bảo trì hạ tầng dưới dạng biểu mẫu code (IAC) để cung cấp tài nguyên tự độngGiám sát và tối ưu hiệu suất cloud và sử dụng tài nguyênĐánh giá hiện trạng và giải quyết các vấn đề/sự cố liên quan đến cloudTạo và duy trì hệ thống văn bản tài liệu cho kiến trúc cloud, cấu hình và quy trìnhCộng tác với các đội phát triển, bảo mật và vận hành để đảm bảo triển khai cloud liền mạchTổ chức các buổi đào tạo và chia sẻ kiến thức để thúc đẩy thông lệ tốt nhất về kỹ thuật cloud3. Các quan hệ chủ đạoCác đội hạ tầng, vận hành và phát triểnĐội ngũ CoE

We are looking for experienced and detail-oriented Senior Technical Writers who can transform complex technical concepts into clear, structured, and user-friendly documentation. The role will cover two key specialization areas:API &Architecture DocumentationDatabase & Schema DocumentationResponsibilities: API & Architecture specializationWrite and maintain API documentation(REST/GraphQL), integration guides, and developer guidelines.Design and visualize workflows of business processes.Document system architecture: Front-end, Back-end, Mobile.Draft and standardize BRDs, technical solution documents, and partner handover documentation.Database & Schema specializationWrite and maintain Database Schema Documentation (ERD, schema definitions, relations).Standardize data dictionaries (tables, columns, constraints, indexes).Document data flow and data integration across systems.Standardize database documentation for version control (Prisma schema, SQL migration, etc.)