Việc làm cho sinh viên Đại học Công nghiệp Quảng Ninh

Alpha Bravo Development is a fast-growing US-based software development agency specializing in fully custom software solutions for service-based businesses. We help clients develop centralized platforms that match each client’s unique workflow, giving them full ownership, customization, and long-term cost efficiency. With a strong reputation for quality, reliability, and innovation, we're expanding our global footprint and building an elite development team in Vietnam to help drive our next phase of growth. We are looking for talented Developers (Frontend or Backend) to join our Vietnam engineering team. You will collaborate closely with our US and international teams to build scalable and high-quality web and mobile applications for clients across various industries.Important: We do not prioritize candidates who are taking a second job. If you are applying for this as a second job, please refrain from submitting your application. However, if your primary job is hybrid or remote, we may consider your application.

Design, develop, and maintain web applications using C#, .NET Framework/.NET Core, and JavaScript/TypeScript (React, Vue, or jQuery depending on the module).Perform both front-end and back-end development, including REST APIs, business logic, and UI/UX enhancements.Debug, troubleshoot, and resolve incidents and performance issues in the production environment.Collaborate closely with Korean teams to receive requirements, plan deployments, and ensure delivery aligns with group-wide policies and schedules.Perform code review, refactoring, and optimization for scalability and maintainability.Contribute to system documentation, deployment scripts, and configuration management.Follow secure coding practices and internal compliance requirements.

Thực hiện các nhiệm vụ định kì của phòng theo lĩnh vực được phân công bao gồm: khai phá dữ liệu, phân tích chuyên sâu, xây dựng và làm giàu kho dữ liệu đặc trưng, phát triển mô hình phục vụ kinh doanh (tiềm năng bán, upsale, cross sale, chống churn ...)Thực hiện xây dựng và phát triển các mô hình phục vụ đáp ứng nhu cầu và hỗ trợ ra quyết định kinh doanh trên lĩnh vực được phân côngThực hiện công tác điều chỉnh, vận hành, tối ưu hóa các mô hình hiện hữu phục vụ đáp ứng nhu cầu và đạt hiệu quả kinh doanh cao.Tham gia và báo cáo lãnh đạo dự án, lãnh đạo khối các dự án về công tác xây dựng mô hình phân tích dữ liệu được phân công

Develop in web application development in different areas such as: AI Machine learning / Data Learning Solution and other company solutionsEnsure the best possible performance, quality and responsiveness of back-end applicationsAlways keep up to date with emerging technologies

Position SummaryAre you passionate about video games, art, and the incredible new world of AI technology? We are looking for a highly motivated and creative individual to join our team as a Junior Generative Game Artist. This is a fantastic entry-level opportunity to begin your career at the intersection of art and artificial intelligence.In this role, you will learn from our senior artists and assist in creating game assets using cutting-edge generative AI tools like Midjourney, ChatGPT, Gemini Nano Banana, Layer.ai, and OpenArt.ai. Your primary tool for refining and finishing these assets will be Adobe Photoshop. If you have a good artistic eye, a love for learning, and a foundational knowledge of Photoshop, we want to help you grow into a key member of our creative team.Key ResponsibilitiesAssist in Asset Creation: Support the art team by using AI tools to generate initial concepts for characters, environments, and props based on guidance from senior artists.Learn Prompt Engineering: Under mentorship, you will learn and apply basic-to-intermediate prompt engineering techniques to generate images that align with the project's art style.Image Refinement and Cleanup: Use your Adobe Photoshop skills to perform essential post-production tasks, including cleaning up artifacts, making color corrections, compositing elements, and preparing AI-generated images for in-game use.Asset Management: Help organize, name, and maintain the growing library of AI-generated assets to ensure the team can access them easily.Experiment and Learn: Actively participate in training sessions and spend time experimenting with our suite of AI tools to develop your skills.Support the Team: Provide general support to the art department as needed, contributing to a positive and collaborative studio culture.

I. MỤC ĐÍCH: Giám đốc Trung tâm Trí tuệ Nhân sự là xây dựng và quản lý một trung tâm chuyên trách về quy hoạch và quản trị dữ liệu toàn công ty (bao gồm dữ liệu người dùng và dữ liệu nội bộ) cũng như phát triển và ứng dụng trí tuệ nhân tạo (AI) để tối ưu hóa hoạt động kinh doanh, nâng cao hiệu quả ra quyết định và tạo lợi thế cạnh tranh cho Meey Group. Vị trí này chịu trách nhiệm thiết lập chiến lược dữ liệu và AI, quản lý hoạt động của trung tâm và đảm bảo trung tâm đóng góp vào việc đạt được các mục tiêu kinh doanh thông qua việc khai thác sức mạnh của dữ liệu và AI trên toàn bộ các lĩnh vực của công ty.II. NHIỆM VỤ CỤ THỂ1. Xây dựng chiến lược và kế hoạch:Xây dựng chiến lược tổng thể về dữ liệu và AI cho toàn công ty, bao gồm mục tiêu, ưu tiên, lộ trình phát triển và các lĩnh vực ứng dụng tiềm năng.Lập kế hoạch hoạt động chi tiết cho trung tâm, bao gồm các dự án, nguồn lực cần thiết và các chỉ số đo lường hiệu quả (KPIs) cho cả mảng dữ liệu và AI.2. Quy hoạch và quản trị dữ liệu toàn công ty:Thiết lập và quản lý hệ thống thu thập, lưu trữ, làm sạch và tích hợp dữ liệu từ tất cả các nguồn trong công ty (dữ liệu người dùng từ các nền tảng, dữ liệu nội bộ từ các hệ thống nghiệp vụ).Xây dựng các quy trình và tiêu chuẩn về quản trị dữ liệu, đảm bảo tính chính xác, bảo mật, khả năng truy cập và tuân thủ các quy định pháp luật liên quanPhát triển và duy trì kho dữ liệu tập trung (Enterprise Data Warehouse hoặc Data Lake) hoặc các nền tảng dữ liệu phù hợp để phục vụ cho mục đích phân tích và ứng dụng AI.Đảm bảo khả năng truy cập và sử dụng dữ liệu hiệu quả cho các bộ phận và các dự án AIBáo cáo & trực quan hóa dữ liệu: Xây dựng dashboard theo thời gian thực để hỗ trợ ra quyết định. Cung cấp báo cáo định kỳ cho Ban lãnh đạo & các bộ phận liên quan. Xây dựng công cụ phân tích dành cho khách hàng (ví dụ: dự báo giá BĐS, tính toán lợi nhuận đầu tư).3. Phát triển và ứng dụng AI trên toàn công ty:Xác định các cơ hội ứng dụng AI trong các lĩnh vực khác nhau của kinh doanh (marketing, bán hàng, sản phẩm, vận hành, tài chính, nhân sự, v.v.).Nghiên cứu, phát triển và tích hợp AI vào các sản phẩm/dịch vụ phù hợp với nhu cầu và bài toán của từng bộ phận.Quản lý vòng đời của các ứng dụng AI, từ giai đoạn ý tưởng, phát triển, triển khai đến giám sát và bảo trì.Đánh giá hiệu quả và tối ưu hóa các ứng dụng AI đã triển khai, đảm bảo mang lại giá trị kinh doanh cụ thể.4. Quản lý đội ngũ:Tuyển dụng, đào tạo, quản lý và phát triển đội ngũ chuyên gia về kỹ sư dữ liệu, nhà phân tích dữ liệu, nhà khoa học dữ liệu, kỹ sư AI, chuyên gia học máy và các vị trí liên quan khác.Phân công công việc, thiết lập mục tiêu và đánh giá hiệu suất của các thành viên trong nhóm.Xây dựng môi trường làm việc hợp tác, sáng tạo và khuyến khích học hỏi.

Định hướng và đưa ra giải pháp kỹ thuật cho các sản phẩm, dự án phần mềm: lựa chọn công nghệ sử dụng, kiến trúc, thiết kế và giải pháp;Phối hợp chặt chẽ với PO, BA và các stakeholders để làm rõ yêu cầu và đảm bảo giải pháp kỹ thuật phù hợp mục tiêu sản phẩm;Tham gia lập trình, viết tài liệu thiết kế kỹ thuật và triển khai hệ thống;Đào tạo, hướng dẫn và mentor các thành viên trong team;Nghiên cứu, đánh giá và ứng dụng các công nghệ mới để nâng cao chất lượng sản phẩm và tối ưu vận hành hệ thống. 

Phân tích và khai thác dữ liệu: Thu thập, làm sạch và xử lý dữ liệu từ nhiều nguồn khác nhau để phục vụ phân tích.Phát hiện xu hướng và đưa ra dự báo: Sử dụng các phương pháp phân tích để nhận diện các mô hình và xu hướng trong dữ liệu.Quản lý rủi ro và gian lận: Hỗ trợ phát hiện các giao dịch bất thường, đánh giá rủi ro tín dụng và tối ưu hóa các quy trình kiểm soát rủi ro.Cá nhân hóa trải nghiệm khách hàng: Phân tích dữ liệu để cải thiện sản phẩm, dịch vụ và tối ưu hóa chiến lược tiếp cận khách hàng.Hợp tác với các phòng ban: Làm việc cùng các bộ phận kinh doanh, Công nghệ, quản lý rủi ro để triển khai các giải pháp dữ liệu.Triển khai và giám sát hệ thống AI/ML: Đưa các mô hình vào vận hành, theo dõi hiệu suất và tối ưu hóa hoạt động.Cập nhật công nghệ mới: Theo dõi xu hướng công nghệ, nghiên cứu và áp dụng các phương pháp tiên tiến vào công việc.

Liaising between the IT department, User Experience department, and the Executive branchesAnalyzing, understanding strategic business needs, and planning for growthActing as an information source and communicator between business branches; proposing solutions to meet business requirements as well as the design of technical systems if necessaryWriting and maintaining robust functional specificationsBe familiar with the SCRUM Agile Development methodology and Conduct regular stand-ups with the development team and product owner in the capacity of a SCRUM Master.Managing change requests from stakeholdersConducting Quality Assurance and Quality Control tests, A/B tests, and UAT sections with users and product ownersUtilizing and analyzing IT data for business insightsEnhancing the quality of IT products and servicesAnalyzing data to inform business decisionsSourcing and implementing new business technologyFinding technological solutions to business requirementsProducing reports on application development and implementation 

Software DevelopmentDesign scalable software architectures that meet business needs.Contribute to frontend/backend development (React, Node.js, Python/FastAPI, or similar) as part of fullstack delivery.Evaluate and recommend tools, technologies, and processes to ensure the best solutions.Implement comprehensive testing strategies (unit, integration, E2E) to maintain quality and stability.DevopsContainerize and deploy models using Docker, Kubernetes, AWS/GCP/Azure.Establish CI/CD pipelinesMonitor models in production, ensuring performance, resilience, and complianceLeadership & CollaborationMentor junior members, fostering technical growth within the team.Lead technical discussions and provide guidance to development teamsEngage directly with international clients, ensuring transparency, trust, and delivery excellence.

A joining bonus amounting up to 55mil VND gross salary will be offered to candidates having at least 4 years of experience, and signing the offer during the period from August 12th, 2025 to December 31st, 2025 . Participate in innovative software development life cycle using agile methodologiesBe responsible for quality of technical solution of medium to complex applicationSolve technical conflicts and make rationale decision between technical choicesAdhere to the coding standards, best practices, common design patterns & principlesSet standards, give technical directions, and perform reviews to verify the adherence to coding standardsHand-on to solve complex technical issues. Perform code review, provide recommendations and directions for continuous improvement of the code quality, technical debt reduction, unit tests, coding standardsCollaborate with architecture team to update and/or build the technical designs. Coach and train developers, help them to implement the software in line with the designs and standards, and to become independent on technical aspectsSelf-manage in designing the technical stack for development projects. When necessary, research new or emerging technologies and frameworks, give recommendations, build proofs of concept and conduct trainings

Develop and maintain backend systems for gamifications. Design, build, and optimize APIs and server systems to handle millions of daily requests Integrate backend services such as authentication, payment, leaderboard, chat, matchmaking, and in-game events. Collaborate closely with frontend/game client teams to ensure performance and player experience Optimize server performance, scalability, and high concurrency handling. Write technical documentation and follow software development processes (code review, CI/CD) 

Are you an experienced Project Manager (Japanese N2+) with a strong background in IT and software delivery for the Japanese market? We are looking for a proactive leader who can manage complex projects, drive high-quality outcomes, and collaborate effectively with both internal teams and Japanese clients.End-to-End Project Management: Lead opportunity analysis, pre-studies, implementations, and upgrades for new and existing customers.Delivery Excellence: Oversee project scope, timelines, budgets, and quality standards to ensure successful execution.Risk & Change Management: Identify potential risks and implement mitigation strategies while handling project changes effectively.Process Optimization: Contribute to standardizing methodologies, tools, and best practices for continuous improvement.Stakeholder Communication: Act as a key liaison between internal teams and external stakeholders, including Japanese clients and steering committees.Team Leadership & Development: Manage, mentor, and support a team of 15–50 members, ensuring their professional growth and high-level delivery.

1. About the Role:We are seeking a highly skilled Site Reliability Engineer with experience applying GenAI to automate and enhance the reliability of complex data platforms in Data Division. You will be responsible for building self-healing infrastructure, AI-powered observability, and automating incident response across data pipelines (e.g., Databricks, Glue, Kafka, Flink). This is a high-impact role where you will shape the future of data reliability at Techcombank, mentor engineers, and lead initiatives that span multiple teams and domains.2. Key Responsibilities:Platform Reliability & Automation• Design, implement, and operate reliable, scalable, and observable data platforms.• Automate incident triage, remediation, and postmortems using GenAI-powered tools.• Develop intelligent runbooks and self-healing workflows using LLMs.GenAI-Enabled SRE Practices• Build and integrate GenAI copilots for on-call support, anomaly detection, and RCA (root cause analysis).• Fine-tune or prompt engineer LLMs for specific use cases like summarizing logs, interpreting metrics, or generating remediation steps.• Leverage vector databases (e.g., FAISS, Weaviate) to retrieve telemetry and incident history for GenAI prompts.Observability & Anomaly Detection• Integrate GenAI with observability tools (e.g., Datadog, Prometheus, Grafana, OpenTelemetry).• Build systems for natural language querying of platform health and pipeline performance.• Collaborate with data engineers to monitor SLIs/SLOs across ingestion, transformation, and delivery layers.CI/CD & Risk Management• Integrate GenAI into CI/CD pipelines to generate blast radius analyses and deployment guardrails.• Use LLMs to assess the risk of configuration or schema changes before production rollout.• Automate validation and rollback strategies based on historical outcomes.

At Aletech, we're more than just a software development company. We're pioneers in innovation, with a portfolio of cutting-edge products that include an internal smart system powered by Chat GPT, an automated shopping workflow, and a cryptocurrency mobile application.We firmly believe that the growth of each team member contributes to the success of the organization. That's why we are dedicated to enhancing the skills and experiences of our team and providing an environment that fosters personal and professional growth.If you're searching for a workplace where your passion meets purpose, Aletech is the place to be. Join us and be a part of a team that thrives on innovation, creativity, and a shared commitment to excellence.Job DescriptionAs a Data Analyst, you will be responsible for collecting, transforming, analyzing, and visualizing data to provide valuable business insights. You will work closely with different departments and communicate directly with business teams to drive data-driven decision-making processes.Key Responsibilities1. Data Collection & TransformationGather and consolidate data from multiple sources, including databases, APIs, and external data providers.Cleanse, preprocess, and transform raw data to ensure accuracy and usability.Maintain data integrity and consistency across various systems.2. Data Management & Relational DatabasesDesign and manage relational databases, ensuring optimized performance and security.Write complex SQL queries to extract, manipulate, and aggregate data.Develop and maintain efficient database structures for reporting and analytics.3. Statistical Analysis & InsightsApply statistical techniques to analyze data, identify trends, and detect anomalies.Utilize predictive modeling and data analysis techniques to generate actionable insights.Support business decision-making with well-researched data interpretations.4. Data Visualization & ReportingDevelop interactive dashboards and reports using Power BI to communicate key insights.Create data visualizations that effectively convey complex information to non-technical business stakeholders.Monitor and optimize Power BI reports for performance and usability.5. Business Intelligence & Decision SupportWork closely with business teams (finance, operations, marketing, and sales) to understand their data needs.Translate business requirements into analytical solutions.Present insights and recommendations to help drive business growth.

Duration: Full-time for 6 monthsThe RoleWe’re looking for a Senior Data Scientist who can tackle complex business challenges and transform them into innovative technical solutions. In this role, you’ll dive deep into statistical analysis, data mining, and cutting-edge Large Language Model (LLM) technologies to shape the future of AI-driven products.You’ll engage hands-on with emerging technologies, pushing the boundaries of what’s possible in AI from early ideation and research through to final delivery. And you will closely collaborate with not only the data team but also product managers and engineers to ensure successful analytics or AI feature execution.ResponsibilitiesHuman-Centered Analysis: Manipulate human behavior, sentiment, and language data to uncover hidden patterns and support data-driven decision-making.AI/ML Model Development: Craft effective prompts to interact with AI models, optimizing output quality and relevance, performing fine-tuning, data feeding, validation, and engineering for continuous improvement.Deliver Pragmatic Solutions: Consistently make pragmatic technical decisions that prioritize business value and speed of delivery, aligning with our early-stage startup environment.Cross-functional Collaboration: Collaborate with other product and engineering teams to understand data needs and ensure the smooth delivery of data solutions.

Trusting Social is the leading Digital Identity & Payment Authentication service provider for the Banking & Financial sector in Vietnam, Indonesia, the Philippines, and India, boasting over 30 existing clients, including banks, financial companies, and e-wallets. Our TrustVision solutions empower clients to onboard customers digitally anytime and anywhere, detect fraud, and enable secure transactions using advanced facial recognition and AI models.Are you a visionary Product Leader with a passion for solving complex, real-world problems that impact millions? Do you thrive on understanding deep market needs, crafting compelling product visions, and collaborating with brilliant minds to bring innovative SaaS/B2B products to life? If you're ready to take extreme ownership and drive the success of an entire product line in the dynamic financial sector, then we want you on our team!How You'll Make an ImpactAs our Product Manager, you'll be at the forefront of transforming market needs into impactful, world-class products that solve large-scale problems for our clients. You'll take extreme ownership of your assigned product lines within the Trust Vision department, driving their success from concept to market leadership.What You'll DoUnderstand market needs and customers' pain points, stay updated on market trends, create a compelling product vision, and develop a product roadmap quarterly and annually. Spearhead the success of the whole Trust Vision department’s product lines in your assigned markets.Obsess over customers to deliver the products they need, constantly study the products to understand every aspect, and fine-tune them to meet customer needs.Deliver a world-class product with inputs from customer/client discovery, sales, and advisory teams.Conduct assessments to identify optimal product opportunities, ensuring alignment of features with the targeted market and available technology.Work closely with the Data Science team & Engineering team to deliver product features of the product roadmap.Engage with clients and users to gather constant feedback and incorporate it into the product features.Conceptualize, define, and guide research and product requirements to create exceptional user experiences.Use data to understand product and feature performance, and suggest data-driven initiatives to improve the product and user experience.Use data and client feedback to identify new fraud schemes. Advise clients with tailored use cases based on data and testing outcomes.Provide expert opinions for enhancements/improvements of the product suite provided to clients.Collaborate with Data Scientists and Engineers to ensure smooth and proper production implementation. Pitch or support sales in pitching and deployment for customers.Foster the professional growth of product team members by providing ongoing development opportunities and offering timely feedback to enhance their skills and expertise when needed.

Design, develop, and maintain automated test scripts for Mobile apps (React Native), Web applications, and APIs.Initiate and support backend performance testing.Set up and manage CI pipelines to integrate automated tests into the development lifecycle.Ensure test coverage and quality metrics are met across platforms.Participate in code reviews and contribute to test strategy discussions.Collaborate with Development and Infrastructure teams to stabilize tests.Work independently while mentoring junior engineers and contributing to team-wide quality initiatives.