Việc làm cho sinh viên Đại học Việt Bắc

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. 

Power Apps Development (70%)Design, develop, test, and deploy RPA solutions using Automation AnywhereWork closely with business analysts and stakeholders to understand automation requirementsMaintain and support existing bots and troubleshoot issues when neededIntegrate automation workflows with systems such as SQL Server and other enterprise toolsCollaborate with cross-functional teams to deliver end-to-end automation solutionsPrepare technical documentation and ensure code quality standardsPower Automate Development 15%)Develop and implement automated workflows using Power Automate Cloud Flows and Desktop Flows to optimize business operations.Integrate Power Automate with Microsoft 365 services (SharePoint, Outlook, Teams, OneDrive) and third-party applications.Create and manage approval workflows, scheduled flows, and event-driven automation.Ensure workflows are optimized for performance, scalability, and security compliance.Troubleshoot, debug, and enhance existing automation solutions.General Responsibilities (10%)Work with stakeholders to gather business requirements and translate them into technical solutions.Provide training and support to end users for RPA solutions.Stay up to date with new features in RPA tools and continuously improve skillsCollaborate with IT and business teams to ensure governance, security, and compliance with company standards.SQL Server Back-End Development (5%)Design, develop, and maintain SQL Server databases and stored procedures.Optimize database performance, indexing, and query execution.Ensure database security, integrity, and reliability.

Our client is a leading International Investment Management Company looking for an outstanding and experienced candidate for the position of Research Data Analytics Engineer to enlarge our Vietnam based team of high cooperation and continued learning.The job description includes the following but is not limited to the specifications contained herein. • Design and build robust and scalable databases for storing market, finance data.• Develop and continuously improve, maintain data workflow to ingest, clean, validate, and transform structured and unstructured data.• Ensure systems run reliably, efficiently in production environments, ensure data integrity throughout the migration process. • Create and maintain comprehensive documentation for data processes, ensuring knowledge transfer, observability and supportability. • Coordinate to manage, maintain and develop report upon requests.• Coordinate to provide input, macroeconomic and equity market figures for all type of materials, presentations, reports upon requests.• Ensure the secured filing of documents, data, and compliance with applicable computer security rules.• Research, build and apply AI solutions / AI agent to support departmental activities and improve work efficiency.• Explore and guide team members in leveraging technology, automation, and AI, IT tools to improve workflows complying with data security requirements, etc• Perform other tasks as required by Research Data Analytics Manager / Officer, Head of Advisory, Departments and Chief Representative.

Lead Developers act as the primary point of contact for our clients, ensuring that teams are successful in their delivery. In this role, you will bring a strategic mindset to projects and spend time collaborating and negotiating with clients to bring a technical vision to life. Having a balance of high-level and tactical mindsets is a must, as you will spend time both with clients and your teammates.At Thoughtworks, we believe in going above and beyond the standard and are committed to delivering best-in-class solutions that exceed our clients' expectations. Our standard engineering and delivery practices reflect our commitment to quality, and our team is always looking to innovate and improve. Lead Developers guide and coach their teams in their implementation and application. Job responsibilitiesYou will own the design and architecture of solutions, making pragmatic technology choices and guiding delivery from start to finish.You will lead delivery by tracking work, mitigating risks, and resolving issues at both team and client levels.You will build and nurture high-performing teams by fostering growth, wellbeing, and inclusivity, while coaching and mentoring key people.You will influence and consult with clients, working within constraints to design scalable solutions and drive business value.You will champion engineering best practices such as TDD, pair programming, clean code, and design patterns.You will collaborate with stakeholders and teammates to design concepts, build prototypes, and embed UX best practices into solutions.You will apply continuous delivery and DevSecOps practices to deliver secure, high-quality software quickly and sustainably.You will remain hands-on with coding, applying multiple languages, tools, and modern practices - never becoming post-technical.You will leverage insights from the Thoughtworks Technology Radar to adopt new tools, techniques, and approaches.You will advocate for a culture of feedback, learning, and inclusivity, helping individuals and teams thrive.

We are looking for excellent engineers who can research & develop AI solutions. You will be given a chance to work on different real-world problems in various business domains of Toshiba using the latest technologies. You will sharpen your skills by constantly sharing with other senior members in our team or collaborating with experts in Toshiba R&D groups in Japan. The working environment is open, flexible, collaborative, encouraging, and excellence-oriented. Senior candidates with proven leadership & management skills will have opportunities for leadership roles.For further insights into Toshiba's AI projects, please explore the details available at the following link: 

1. Mảng Chính sách:• Nghiên cứu chuẩn mực IFRS có ảnh hưởng tới VPBank và các công ty con, xây dựng và cập nhật các chinh sách, hướng dẫn nghiệp vụ theo IFRS• Tư vấn nghiệp vụ IFRS cho các phòng ban liên quan trong Ngân hàng và các công ty con2. Mảng Vận hành hệ thống (Kondor, SAP, …):• Rà soát chứng từ kế toán, kiểm soát phần book sổ IFRS• Kiểm soát vận hành hệ thống, đưa ra các điểm cần cải tiến và dẫn dắt quá trình thực thi3. Mảng Báo cáo tài chính và Phân tích:• Dẫn dắt quá trình lập báo cáo tài chính IFRS• Phân tích số liệu kế toán tài chính4. Mảng Phát triển con người:• Hướng dẫn/Định hướng phát triển 1 team. On-the-job training.• Chủ động đề xuất và giảng dạy một số khóa đào tạo nghiệp vụ phù hợp.

NHÓM 3: QUẢN LÝ HẠ TẦNG VÀ MẠNG3.1. Công nghệ phần cứng và quản trị hệ thốngVai trò, số lượng- Vai trò: Thiết kế, giám sát triển khai kiến trúc tổng thể hạ tầng công nghệ thông tin; quản lý nhà nước về hạ tầng CNTT.- Số lượng: 01 người thực hiện: - Thiết kế kiến trúc tổng thể hệ thống hạ tầng CNTT của NHNN đáp ứng yêu cầu phát triển trong vòng 10 năm tới.- Giám sát việc triển khai kiến trúc.- Quản lý nhà nước về hạ tầng CNTT.

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.

- Sản xuất Lowpoly 3D character (handpainting) modelingYêu cầu ứng tuyển: Vui lòng nộp CV ứng tuyển kèm Portfolio (Bắt buộc)

Are you ready to lead change that touches half a million lives across the globe?Bosch Digital is on a bold journey to transform our internal IT landscape—and we’re looking for a Senior Business Analyst Lead to help us shape the future of digital workflows. This is a rare opportunity to work on a flagship global product, serving Bosch associates worldwide, and collaborate with some of the brightest minds across continents.You’ll lead a talented team of Business Analysts and IT Consultants, driving the modernization and migration of complex workflow platforms. Your work will directly impact how Bosch operates—from Europe to Asia, the Americas to Africa.Why This Role Is Unique

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.

Design and build high-performance, scalable backend systems capable of handling millions of users and concurrent transactions. Develop APIs and integrations with various exchanges, wallets, and blockchain protocols. Optimize database performance and scalability to ensure efficient real-time data ingestion and processing. Implement efficient caching and storage solutions to deliver lightning-fast data access to our users. Collaborate closely with front-end developers and the product manager to translate user needs into technical solutions. Integrate with third-party services and exchanges to expand our data reach. Write clean, well-documented code, adhering to best practices for code quality and security.

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.

Vị trí chức danh: Chuyên viên Marketing cấp 2Khối/Ban: Khối Bán lẻĐơn vị: Ban Quản lý dự án CRMĐịa điểm làm việc: Tháp BIDV, 194 Trần Quang Khải, Lý Thái Tổ, Hà NộiHạn nộp hồ sơ: Đến hết ngày 31/10/2025 hoặc đến khi nhận đủ số lượng hồ sơ BIDV chỉ nhận hồ sơ ứng tuyển qua: https://tuyendung.bidv.com.vn/tin-tuyen-dung/764/chuyen-vien-marketing-cap-2-tro-len.htmlNHIỆM VỤ TRỌNG TÂM1. Chuẩn hóa quy trình triển khai marketing đến các đối tượng khách hàng mục tiêu trên cơ sở rà soát và xây dựng quy trình marketing hiện tại trên kênh truyền thống và kênh số để áp dụng hệ thống CRM.2. Xác định yêu cầu mua sắm/xây dựng hệ thống CRM cấu phần marketing.3. Triển khai cấu phần marketing trên hệ thống CRM sau khi hoàn thành mua sắm hệ thống/Xây dựng, vận hành các usecase trên hệ thống CRM sau khi xây dựng.4. Xây dựng khung triển khai chiến dịch, các hành trình marketing khách hàng cơ bản và nội dung áp dụng trên các hành trình.5. Các công việc khác theo phân công.

Phát triển phần mềm, thực hiện kiểm thử nội bộ, viết tài liệu kỹ thuật và triển khai ứng dụng trên các môi trường khác nhauPhân tích nguyên nhân sự cố, tối ưu từ người dùng hoặc các ứng dụng tích hợp của đối tác, đề xuất phương án xử lý tối ưu.Tham gia phân tích, thiết kế và đưa ra giải pháp kỹ thuật dựa trên tài liệu yêu cầu nghiệp vụ.Xác định và rà soát các vấn đề thường xuyên phát sinh lỗi, xây dựng phương án khắc phục triệt để và giám sát thực thi.Phối hợp với các thành viên trong đội dự án (BA, QA, DevOps, Product Owner,...) để hoàn thiện sản phẩm.Nghiên cứu nâng cấp bản thân để cập nhật các công nghệ, thiết kế mới

• Phân tích nghiệp vụ & quy trình o Tiếp xúc, trao đổi với khách hàng để phân tích khoảng cách (GAP) giữa quy trình hiện tại của sản phẩm và yêu cầu thực tế theo tiêu chuẩn nghiệp vụ bệnh viện/phòng khám. o Phân tích và mô tả workflow/dataflow để phục vụ việc nâng cấp tính năng, xây dựng báo cáo chuẩn theo QĐ 2429/BYT và các tiêu chuẩn ngành khác (nếu có). o Phân tích yêu cầu nghiệp vụ cho các module chuyên sâu của phần mềm LIS như: Quản lý nội kiểm (QC), Tủ máu, Vi sinh, Quản lý hóa chất và các modules mở rộng trong tương lai. • Tài liệu hóa & hỗ trợ phát triển o Viết tài liệu phân tích đặc tả yêu cầu (BRS/SRS/…) cho toàn bộ quy trình LIS: Trước xét nghiệm – Trong xét nghiệm – Sau xét nghiệm. o Thiết kế Use Case, phối hợp xây dựng prototype/mockup/wireframe với PO và Designer. o Hỗ trợ nghiệp vụ cho Dev và Tester trong suốt quá trình phát triển và kiểm thử. Đào tạo & chuyển giao o Hướng dẫn người dùng cuối sử dụng hệ thống, bao gồm thao tác phần mềm và các khái niệm nghiệp vụ cơ bản trong lĩnh vực xét nghiệm và phạm vi của phần mềm. o Chuẩn bị tài liệu hướng dẫn sử dụng, quy trình thao tác và tài liệu đào tạo.o Đào tạo nội bộ cho team phát triển, kiểm thử, thiết kế về quy trình xét nghiệm và nghiệp vụ y tế liên quan. • Quản lý & điều phối hỗ trợ o Đánh giá sản phẩm, phối hợp với Tester để đảm bảo chất lượng phần mềm. o Phân công lịch trực tuần cho Tester, hỗ trợ điều phối team hỗ trợ khách hàng khi có sự vụ. o Review testcase, test plan. o Nhận báo cáo hàng ngày từ team Tester, đánh giá và báo cáo lại cho PO/PM. o Phân luồng và quản lý công việc trong nội bộ team Tester để đảm bảo tiến độ khi cần thiết

We are looking for a Prompt Engineer with a strong foundation in large language models (LLMs), prompt design, and system integration — someone who can go beyond prompt tuning to design, build, and operate practical AI Agent systems that enhance and automate back-office workflows.Design and develop AI Agent platforms or applications from scratch, especially for automating and enhancing back-office operations using LLMsDevelop and iterate on high-quality prompts, prompt-chaining strategies, and evaluation pipelinesMonitor agent behavior and system metrics to identify and mitigate hallucinations, performance degradation, or edge casesEvangelize and integrate tools, workflows, and development cultures to support rapid and responsible AI feature developmentCollaborate with backend, frontend, and infrastructure teams for seamless integration and deliveryMentor team members in best practices for prompt engineering, LLM integration, cloud AI tools, and evaluation methodologiesTake technical ownership of AI initiatives, leading cross-functional collaboration (BE/FE/AI/SRE), and driving system-level decisions

● Design, build, and maintain backend services with an emphasis on scalability, reliability, and high performance. ● Develop and maintain RESTful/GraphQL APIs to support web and mobile platforms. Collaborate closely with product managers, frontend engineers, and cross-functional teams to deliver impactful solutions. ● Troubleshoot, optimize, and ensure smooth deployment of systems in production. ● Participate in architectural discussions, propose technical improvements, and contribute to long-term system design. ● Write clean, testable, and maintainable code following best practices.