Việc làm cho sinh viên Đại học Quảng Bình

Thiết kế, xây dựng và duy trì AI Agent có khả năng trích xuất, xử lý và tổng hợp dữ liệu từ các hệ thống ERP, PMS (Opera), Kế toán (K-system), và các nguồn khác để thực hiện tự động hóa các quy trình lặp lại.Xây dựng Data Pipeline từ các hệ thống khác nhau (MC, Opera, K-system) và tạo ra các API/Agent kết nối đến các công cụ AI để kích hoạt chuỗi tự động hóa.Nghiên cứu và quyết định sử dụng giải pháp lai (hybrid): Kết hợp các AI Agent có sẵn (ví dụ: ChatGPT API cho soạn thảo) và các mô hình nội bộ tùy chỉnh (cho phân tích dữ liệu nhạy cảm).Đảm bảo bảo mật dữ liệu và tính tuân thủ (Compliance) của tất cả các hệ thống AI được triển khai (Ưu tiên giải pháp on-premise hoặc private cloud cho dữ liệu nhạy cảm).

This role is responsible for working with Business Units & Vendors from multiple physical locations, IT professionals and others to lead the planning, controlling, execution and reporting of assigned programs/projects & change requests and follow product of each of projects. Program Manager use a structured approach to deliver results via project plans, the scope of which will be driven by project applicability and complexity of the assignment.Responsibilities/Essential Functions:Leading the development and refinement of program/ project requirements, estimates, plans and implementations. Incumbents are also responsible for using the multi-sourcing strategy and for maintenance of project plans.Continuously monitor project status via a variety of applicable methods; apply best practices and methods as needed, to manage and control project resources and scope.Communicate the status of major milestones, identify classify and manage potential project risk with mitigation strategies and contingency plans, provide continuing direction to the project team, and conduct regular status meetings with key stakeholders to review project activities.Ability to assess risk and manage contingency plansManage, motivate and lead project teams to meet project objectives & quality.Ability to link business consequences to a project‘s progress, goals, functionality, cost/benefit and recommend appropriate courses of action.Assess the performance of project team members, contribute to performance evaluations.

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, develop, and manage scalable data pipelines and ETL processes using AWS Glue, Lambda, and MWAA (Apache Airflow on AWS).Build and optimize data lakes and data warehouses using Amazon S3, Redshift, Iceberg, and DynamoDB.Integrate and monitor data workflows via SNS, CloudWatch, and Datadog.Design and implement data modeling and storage strategies in MySQL, Oracle, and PostgreSQL.Architect and implement big data platforms with focus on performance, scalability, and maintainability.Collaborate with cross-functional teams to analyze business requirements and translate them into data solutions.Support ongoing operations and resolve data issues involving application-layer and cloud infrastructure.

JOB PURPOSEThe role is responsible for supporting project governance, execution, and strategic alignment for a large-scale infrastructure project. Ideal candidates should bring solid project management experience and an eagerness to apply best practices, while being adaptable and collaborative in a fast-paced environment.KEY ACCOUNTABILITIES1. Project Monitoring & Oversight:• Collect, consolidate, and analyze information from relevant parties;• Monitor project progress, scope, risks, and resource utilization;• Supervise implementation quality based on established standards and KPIs/OKRs;• Provide regular reporting and recommend corrective actions when necessary.2. Cross-Workstream Issue Analysis:• Evaluate and analyze interrelated issues across workstreams that may impact overall project progress and planning.3. Project Reporting & Communication:• Act as the central coordination point for project-related communication among stakeholders;• Deliver dashboards, progress charts, risk matrices, etc., to ensure information is timely, transparent, and accessible.4. Executive Committee Secretary:• Responsible for scheduling meetings, consolidating, and preparing materials for Executive Committee sessions.• Prepare post-meeting MoM based on Committee decisions.• Ensure departments comply with processes under the Committee's governance and provide necessary guidance.

Manage and improve system reliability through SLO, SLI, and SLA practices.Design and implement observability systems (metrics, logs, tracing, alerting) using tools like Prometheus, Grafana, ELK, etc.Build and automate CI/CD pipelines and Infrastructure as Code (IaC) using tools such as Terraform, Ansible, Pulumi, Helm.Collaborate in the analysis, design, and deployment of systems and processes to ensure reliability, observability, and scalability.Optimize system cost, performance (latency, throughput), and security.Operate and optimize Kubernetes clusters (EKS); strong knowledge of Docker, Kubernetes, Helm is required.Develop internal tools to automate workflows and support other teams.Participate in incident response, root cause analysis, postmortem reviews, and improve incident handling processes.Support and coordinate with NOC (Network Operation Center) teams.Be part of the on-call rotation when needed.

Phát triển, trực tiếp lập trình các hệ thống, ứng dụng của Ngân hàng, gồm các hệ thống nội bộ và ứng dụng dành cho khách hàng với quy mô 30 triệu khách hàng cá nhân và 300.000 khách hàng doanh nghiệp.Phát triển hoặc phối hợp triển khai cùng các nhà cung cấp cho các giải pháp Công nghệ.Quản lý, phát triển dịch vụ tích hợp với các hệ thống core như: T24, WAY4, BPM, CRM, CIC ...Quản lý, phát triển API trên API Gateway phục vụ tích hợp với các đối tác trong nước và quốc tế.Nghiên cứu, thử nghiệm, triển khai áp dụng các xu hướng công nghệ mới vào việc phát triển: GraphQL, Docker Container (K8s), CICD, EventSourcing, CQRS, NoSQL ...Tham gia phân tích nghiệp vụ, đề xuất giải pháp, phương án triển khai nhằm cải tiến, nâng cao hiệu quả của các dự án trong quá trình làm việc.Lên timeline công việc, quản lý tasks cho các thành viên trong nhóm, giám sát và hỗ trợ các thành viên hoàn thành đúng cam kết.Dẫn dắt nhóm 3-6 thành viên, đồng hành cùng các thành viên phát triển chuyên môn và hoàn thành công việc

Phát triển các hệ thống của MBBank, gồm các nền tảng nội bộ và ứng dụng dành cho khách hàng với quy mô 30 triệu khách hàng cá nhân và 300.000 khách hàng doanh nghiệp - đứng đầu Việt Nam về quy mô phục vụQuản lý, phát triển dịch vụ tích hợp với các hệ thống core banking như: T24, WAY4, BPM, CRM, CIC ...Quản lý, phát triển API trên API Gateway phục vụ tích hợp với các đối tác trong nước và quốc tế.Nghiên cứu, thử nghiệm, triển khai áp dụng các xu hướng công nghệ mới vào hoạt động phát triển: GraphQL, Docker Container (K8s), CICD, EventSourcing, CQRS, NoSQL ...

We're building Saas products and services and there are certainly a lot of things to do. As part of the team, you’ll encounter both technical and business challenges on a daily basis. Below are some examples that we believe you will find interesting. Tech challenges:  Performance optimization (slow DB queries, High latency API,...)  Microservice design (domain driven design, decoupling service,...)  Async processing  Service logging & monitoring  Re-architecting the system (Ruby on Rails -> Kotlin + React)Business challenges:  Large enterprise support with thousands of record  Pay as you go charging  Domain boundary context RESPONSIBILITIESYou will lead the Scrum team and be responsible for the success of the project by collaborating with stakeholders (PdM, QA, SRE) in Japan and Vietnam.Develop BtoB applications having a massive amount of data from scratchDesign a complex architecture which includes API linkage to external systemsQuickly fix system failures or abnormalities by monitoring or notificationsImprove CI/CD for the delivery of a productIntroduce tools, systems and cultures for efficient developmentDevelop fundamental skills of team membersLead the development team of 3+ members with Agile/scrum methodologies and processes.Must have a positive attitude towards learning and working on Ruby on Rails applications.  Currently, most of our applications are developed by Ruby on Rails, and we have started to replace Ruby on Rails with Kotlin. However, we still have a significant amount of Ruby on Rails code.

- Thực hiện công việc kiểm toán báo cáo quyết toán vốn đầu tư hoàn thành các công trình xây dựng theo phân công của chủ nhiệm kiểm toán và kiểm toán viên chính trong các hợp đồng kiểm toán và dịch vụ đảm bảo khác;- Trợ giúp các nhân viên chuyên nghiệp khác các công việc kiểm toán và hành chính khác;- Phát triển bản thân phù hợp với Lộ trình phát triển nghề nghiệp của RSM Việt Nam;- Xây dựng hệ giá trị bản thân phù hợp với văn hóa của RSM Việt Nam;- Cung cấp các dịch vụ tốt nhất đến khách hàng và xây dựng mối quan hệ tốt với khách hàng.

The developer will be involved in all phases of the product development cycle including requirements analysis, project estimation, detailed design, software development, testing, and deployment. He/she has A Good Mindset for Development schedule/Quality/Self-Study and is willing to learn new technologies.What you will doPerform development & testing features/bugs from backlog items.Response quickly to handle incidents if it happens.Build and maintain the CI/CD.Be Involved in Quality Assurance with good processes, practices, and analysis tools.Be Involved in developing Non-Functional Requirements (e.g. Performance, Security, Reliability, Maintainability…)Assists leaders to define Technical BacklogBe Involved in defining Roadmap and Risk Management.Responsible for being committed to the results to be delivered by his/her team and assists his/her teams in achieving such results.Responsible for objectively and effectively communicating with his/her counterparts, leaders, and team membersResponsible for providing his/her team with feedback on their work.Developing ideas for new programs, products, or features by monitoring industry developments and trends.

Phát triển các hệ thống của MBBank, gồm các nền tảng nội bộ và ứng dụng dành cho khách hàng với quy mô 30 triệu khách hàng cá nhân và 300.000 khách hàng doanh nghiệp - đứng đầu Việt Nam về quy mô phục vụQuản lý, phát triển dịch vụ tích hợp với các hệ thống core banking như: T24, WAY4, BPM, CRM, CIC ...Quản lý, phát triển API trên API Gateway phục vụ tích hợp với các đối tác trong nước và quốc tế.Nghiên cứu, thử nghiệm, triển khai áp dụng các xu hướng công nghệ mới vào hoạt động phát triển: GraphQL, Docker Container (K8s), CICD, EventSourcing, CQRS, NoSQL ...

• Thực hiện quản lý và giám sát các giới hạn an toàn, đảm bảo tuân thủ quy định pháp luật và quy định về khẩu vị rủi ro của ngân hàng• Thực hiện báo cáo định kỳ hoặc đột xuất theo quy định của NHNN, yêu cầu quản trị của MB ( HĐQT, UBQTRR, BĐH) về thực trạng rủi ro, đề xuất chương trình hành động phù hợp• Xây dựng công cụ tính toán tài sản có rủi ro (RWA) phù hợp quy định pháp luật, yêu cầu quản trị, phân bổ vốn của MB

YOUR MISSIONWe are seeking an experienced Lead AI Engineer to join our team to develop and implement AI solutions to solve business problems. The ideal candidate will have a strong background in AI, machine learning and software architecture, with experience in implementing and deploying enterprise AI services on cloud platforms. Additionally, this candidate should be able to work collaboratively with other team members to integrate AI solutions into existing systems. HOW YOU'LL MAKE AN IMPACTLead an AI Engineer development team, focusing on the back-end AI services, by providing direction and facilitating the collaboration between team members. Study and understand our current business, involve into the PRD discovery phase, be able to clarify & understand the business problem.Design cloud-native AI service architecture that is scalable, highly available, reliable and maintainable.Participate in estimation, sprint planning and task assignment.Be responsible and fully control AI services from scratch, including solution, architect, DB, detailed design, coding, code review, testing, deployment, monitoring and support. Develop, implement and deploy AI solutions to solve real-world business problems.Monitor & optimize AI solutions for performance, scalability and reliability.Collaborate with the AI team and software engineers to build, integrate, and maintain AI models in production systems.Integrate AI solutions into existing systems.Work collaboratively with software developers to ensure successful deployment of AI services.Communicate results and progress clearly to technical and non-technical stakeholders.Stay up-to-date with the latest developments in AI, machine learning and AI application architectures.

1. Participate in the research, analysis, and design, and provide recommendations regarding non-life insurance product services on e-commerce channels.2. Formulate insurance plans (insurance rights, corresponding fee schedules) based on the needs of partners.3. Develop and write attractive and easy-to-understand product promotion content to help customers/partners grasp the advantages of digital insurance products.4. Support the digital sales department in answering customer/partner questions about digital insurance products.5. Perform other related work as assigned by the department head.

Main task:Perform manual functional testing, integration testing and regression testing on iOS and Android mobile phone.Follow predefined test scripts accurately and record results in TestRail / Excel. Identify and report defects with clear reproduction steps and screenshots.Collaborate with cross-region QA, developers, and product managers to clarify expected behavior.Provide concise test execution reports.

Own end‑to‑end delivery of AI department initiatives, from scoping and resourcing start-to-finish, to roadmap execution.Drive planning, risk/issue management, dependency mapping, and coordinate cross‑functional delivery with Data Science, MLOps/Platform, GenAI Apps, and studio teams.Keep stakeholders aligned with clear weekly updates, timelines, and decision logs.Operationalize repeatable workflows (intake, experiment tracking, post‑mortems, retro actions).Partner with engineers to unblock execution (access, environments, test data, approvals).Coordinate vendor engagements and external pilots as needed.Maintain lightweight documentation, runbooks, and onboarding guides so teams can self‑serve.Help with L&D efforts related to AI adoption.Other tasks as assigned.

Data Extraction & ProcessingDevelop microservices to extract data from the Agile application.Write SQL scripts to retrieve and manipulate specific datasets.Function & Feature DevelopmentBuild and maintain APIs and features that integrate with the Agile application.Perform necessary setup and configuration within Agile application.User SupportProvide comprehensive support for application users.Troubleshoot and resolve technical issues promptly.Cross-Functional CollaborationWork closely with teams in other regions, primarily communicating in English.Collaborate on network and server-related problem-solving.