Việc làm cho sinh viên Đại học Phạm Văn Đồng

ROLE SUMMARY We’re building the world’s spiciest AI companion platform. Your mission: fine-tune open-source LLMs, craft insanely real NSFW dialogue and image gen, and push those models into production at break-neck speed. If “prompt engineering” feels like foreplay and you instinctively know the difference between vanilla and gooning, keep reading.MISSION OUTCOMEShip model updates that meaningfully boost user retention, intimacy, and paid conversion.CORE RESPONSIBILITIESModel Customization & TuningSelect / fine-tune SOTA LLMs (Llama-3-70B, Mixtral-8×22B, Phi-3-mini, DeepSeek etc.) using LoRA / QLoRA + Flash-Attention.Build and curate a private dataset of explicit-but-policy-safe chat logs; reinforce with RLAIF on real user data.Prompt & Persona EngineeringDesign multi-level prompt stacks (system → persona → scene → user) that ramp intimacy over time.Create auto-temperature systems to keep chats spicy yet sustainable.Conversation IntelligenceArchitect long-term memory with vector DB + semantic tagging.Implement emotion / kink classifiers (RoBERTa or Tiny-Mistral) to steer replies dynamically.Multimodal IntegrationHook diffusion / TTS models for image, video, and audio replies.Optimize on-device inference (Core ML / NNAPI) for low-latency bursts.Safety & ComplianceBuild tiered filters: soft in-prompt guardrails, hard regex / classifier gates.Iterate A/B tests to balance freedom and user safety.Infra & DeploymentContainerize with Docker; auto-scale on AWS / Vast.ai spot GPUs.CI/CD pipeline for nightly retrains and canary releases to 5% of traffic.Collaboration & CulturePair daily with product, design, and mobile teams; prototype features in days, not quarters.Mentor juniors, share cursed anime memes in Slack, and keep the office vibe spicy 

• Lên ý tưởng và thực hiện video quảng cáo, giới thiệu các dự án bất động sản, và các hoạt động, sự kiện nội bộ của công ty.• Quay - dựng, chỉnh sửa, cắt ghép, xử lý âm thanh, tạo hiệu ứng,...thành một video hoàn chỉnh theo yêu cầu của cấp trên. (Dựa trên những video và hình ảnh phối cảnh có sẵn, hoặc đi quay thực tế nếu cần)• Phối hợp cùng phòng Marketing phát triển nội dung các kênh mạng xã hội (Facebook, Youtube, Tiktok,...) về các dự án bất động sản và thương hiệu của công ty.

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.What You'll DoBuilding low latency APIs required by realtime AI AgentsDesign frameworks, and platforms for other engineers to use.Define structure and best practices for teams.Writing and optimizing database calls to provide the lowest latency to realtime voice agents.Designing and building lock free algorithms that manage orchestration of control flow and AI invocation in high throughput environments.Manage systems that connect, route and manage phone calls using Websockets, UDP, WebRTC. Optimize call quality and jitter across systems.Design and scale platforms high performance CRMs for specific domains.

VSOL is a digital enabler with a mission to help public and private organizations evolve their businesses through data and technology. We provide an end-to-end service from consulting to execution that drives the growth and innovation of our clients. As VSOL is in a phase of rapid expansion, we offer a dynamic, creative environment that accelerates your personal and professional development. We are looking for talented individuals eager to develop in international markets while contributing to the company’s future in a constructive and supportive manner ResponsibilitiesBuild and maintain secure, scalable GCP infrastructure, including Landing Zone and Hub-and-Spoke network architectures.Automate infrastructure provisioning using Terraform (or Terragrunt).Implement and manage secure identity and access controls, including SSO, MFA, and IAM best practices.Configure and manage networking: VPCs, subnets, Cloud VPN, Load Balancers, and Palo Alto VM-Series firewalls.Deploy and manage GCP services such as Kubernetes Engine (GKE), Cloud SQL, Elasticsearch, Cloud Storage, Pub/Sub, Cloud Run, and Service Mesh (Istio).Implement and manage API Gateway solutions with Apigee and apply security measures using Cloud Armor and Security Command Center.Use KMS and Secret Manager for secure key and secret management.Apply DevSecOps practices to ensure compliance with security frameworks and data protection regulations.Automate deployment and manage continuous delivery pipelines using Argo CD and Terraform.Monitor infrastructure using Google Cloud Monitoring, Logging, and Policy Intelligence for performance, security, and cost optimization.Develop and maintain robust backup and disaster recovery strategies.Troubleshoot and resolve infrastructure and deployment issues across GCP services.Collaborate with development teams to ensure seamless integration of applications with GCP services.Participate in on-call support rotations.

About the RoleWe are seeking an experienced Machine Learning Engineer with a strong focus on Computer Vision to join our advanced AI team.What You’ll Be DoingDesign, build, and deploy scalable computer vision systems using deep learning.Develop models for tasks such as classification, detection, segmentation, and visual quality assessment.Collaborate with data scientists and engineers to refine data pipelines and training datasets.Optimize models for performance across cloud and edge platforms.Stay up to date with the latest in computer vision research and apply relevant advancements. 

Trách nhiệm chính:1. Phát triển mạng lưới đối tác mới• Tìm kiếm, tiếp cận và đàm phán hợp tác với các thương hiệu trong lĩnh vực F&B, bán lẻ, dịch vụ, du lịch…• Làm việc trực tiếp với các nhãn hàng để đưa ưu đãi lên nền tảng OneU, mang lại giá trị thiết thực cho người dùng• Ký kết hợp đồng, theo sát tiến độ triển khai, đảm bảo chất lượng dịch vụ2. Duy trì & khai thác đối tác hiện hữu• Xây dựng và duy trì mối quan hệ lâu dài, tin cậy với đối tác• Chủ động đề xuất & triển khai các chương trình bán chéo (cross-selling), Thúc đẩy tiêu dùng của Khách hàng tại điểm bán3. Hỗ trợ vận hành & xử lý sự cố• Là đầu mối giải quyết các vấn đề phát sinh trong quá trình triển khai ưu đãi (lỗi hệ thống, phản hồi từ khách hàng/đối tác…)• Phối hợp chặt chẽ với các phòng ban nội bộ như vận hành, kỹ thuật, pháp chế để đảm bảo dịch vụ vận hành trơn tru

Chương trình K-Tech College (KTC): K-Tech College 2025 là chương trình kết nối việc làm ngành công nghệ, chương trình giúp kết nối các nhân tài trong ngành lập trình tại Việt Nam với các doanh nghiệp công nghệ Hàn Quốc. Ngoài ra chương trình còn đào tạo kỹ năng mềm, kỹ năng làm việc nhóm, văn hóa Hàn Quốc giúp cho nhân sự có đầy đủ kỹ năng cần thiết để nhanh chóng nắm bắt công việc. Chương trình kết nối hoàn toàn miễn phí từ ngân sách tài trợ 100% bởi chính phủ Hàn Quốc.Trách nhiệm công việc Có khả năng đọc hiểu bản thiết kế/tài liệu kỹ thuật do phía Hàn Quốc cung cấp và tham gia review khi cần. Trực tiếp chỉ đạo và quản lý nội dung phát triển cho đội ngũ developer tại Việt Nam dựa trên bản thiết kế. Chủ động trao đổi với các quản lý tại Hàn Quốc để xử lý kịp thời các vấn đề phát sinh trong quá trình phát triển phần mềm. Kỹ năng & Chuyên môn Thành tạo tiếng Hàn, giao tiếp được với PM và Designer tại Hàn Quốc. Có khả năng áp dụng các phương pháp phát triển phần mềm phù hợp. Có kinh nghiệm trong các mảng sau: Phân tích dữ liệu kinh doanh (business analytic)  Thiết kế cơ sở dữ liệu (database design) UI/UX Code và thiết kế giao diện hệ thống. Phúc lợi dành cho bạnỨng tuyển tham gia K-Tech College 2025, bạn sẽ được: Kết nối trực tiếp với doanh nghiệp công nghệ Hàn Quốc Cơ hội nhận offer quốc tế hấp dẫn Được đào tạo kỹ năng mềm, kỹ năng làm việc nhóm và văn hóa Hàn Quốc Được đào tạo tiếng Anh giao tiếp cơ bản và kỹ năng giao tiếp trong công việc

General InformationAs a Mid- Senior Level AI Engineer, you will build upon foundational knowledge to independently design, develop, and maintain AI systems. You are adept at leveraging machine learning algorithms and deep learning frameworks, capable of taking a specific project, breaking it down into necessary steps, and executing them autonomously. You serve as a crucial bridge between high-level concepts and detailed implementation, ensuring the successful execution of AI initiatives. Key ResponsibilitiesWork 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.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).Designing and implementing AI solutions for customer use cases, often leveraging core products and frameworks specific to the company (e.g., Google's TensorFlow, DataFlow, and Vertex AI).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.Building AI models from scratch and transforming machine learning models into APIs that can be seamlessly integrated with other applications.Leading software engineering efforts for AI systems, which involves writing production-ready code optimized for existing and upcoming architectures (e.g., Intel architectures).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.Conducting statistical analysis and interpreting results to guide and optimize organizational decision-making processes.

About Vulcan LabsNever settle, think bigger. Vulcan Labs is a leading mobile application development company based in Ho Chi Minh City, Vietnam. Since 2017, we have published over 30 game and mobile applications with several hundred thousand Daily Active Users and over 10 million downloads combined. Our products on iOS App Store and Android include Camera Translator: Translate+, Face Story - AI Photo Editor, and TV Cast & Screen Mirroring. We welcome individuals from diverse backgrounds to join our team and embrace challenges in a fast-changing industry.Role SummaryWe are seeking a Tech Leader with a strong backend engineering background, deep expertise in Go and Python, and a drive to grow into AI-driven product development. You will architect, build, and optimize strong backend systems powering global mobile apps, while mentoring a team and collaborating cross-functionally.ResponsibilitiesAs a Technical Lead in our team, you will:Team Leadership: Builds and leads a high-performing team. Responsible for hiring, training, and mentoring engineers.Culture Development: Cultivates a strong culture that is aligned to company core value.Performance Management: Sets clear goals for the team and evaluates performance against these goals to ensure continuous improvement.Collaborate with cross-functional teams to define, design, and deliver high-quality software solutions.Develop and maintain robust, scalable, and efficient backend systems and APIs.Participate in basic DevOps activities.Write clean, maintainable, and well-documented code for new and existing applications.Identify and resolve software defects and performance issues.Ensure security and data protection measures are implemented in backend systems.Participate in code reviews to ensure adherence to coding standards and best practices.Collaborate with front-end developers to integrate user-facing elements with server-side logic.Stay updated with the latest trends and advancements in backend development and contribute to improving existing processes and practices.

Cung cấp hỗ trợ cài đặt, cấu hình cho người dùng cuối các phần cứng máy tính, phần mềm, và thiết bị ngoại vi khi cần thiết.Xác định, chẩn đoán, và giải quyết vấn đề ở mức 1 đối với yêu cầu của người sử dụng máy tính cá nhân, phần mềm máy tính và phần cứng, mạng, Internet.Phối hợp với Team IT tổng giải quyết các sự cố,vấn đề ở mức 2 (ngoài thẩm quyền)Giám sát, quản lý tất cả các máy chủ / mạng /thiết bị CNTT.Hướng dẫn sử dụng các phần mềm cơ bản cho nhân viên.Thực hiện các công việc khác theo yêu cầu IT ManagerBắt buộc có thể giao tiếp và đọc hiểu tài liệu Tiếng Anh.

Design, write, and execute manual test cases for embedded systems and firmware.Perform functional, regression, and system testing directly on embedded devices.Collaborate closely with developers and hardware engineers to understand system behavior and ensure comprehensive test coverage.Document test results, report bugs clearly, and follow up on issue resolution.Participate in test planning and contribute to improving testing processes.

Qualgo is more than just a tech company; we’re a movement to build a safer, more trustworthy digital Vietnam. We believe everyone deserves to connect, communicate, and transact online without fear. Our innovative platform, powered by AI and advanced security technologies, provides a secure cyberspace for Vietnamese individuals and businesses, empowering them to embrace the full potential of the digital age. We are deeply committed to supporting Vietnam’s national digital transformation.  Job SummaryAs a Senior Data Engineer, you will play a crucial role in designing, building, and maintaining the core data infrastructure that powers Qualgo’s products and data-driven initiatives. You will be responsible for developing scalable data pipelines, managing our data warehouse and data lake environments, and ensuring data quality and reliability. You will work closely with data scientists, analysts, software engineers, and product teams to understand their data needs and provide them with the necessary tools and infrastructure. This is a hands-on role requiring deep technical expertise, strong problem-solving skills, and the ability to learn and apply new technologies.  Key ResponsibilitiesData Pipeline Development: Design, build, and optimize robust batch and streaming pipelines using tools like Apache Spark, Flink, and Airflow. Data Crawling & Ingestion: Build scalable back-end services to crawl, ingest, and normalize data from web sources, APIs, databases, and flat files. Data Quality & Governance: Implement frameworks and tools (e.g., OpenMetadata, Collibra) to enforce data integrity, security, and compliance with Vietnamese data regulations. Data Modeling & Design: Define scalable data models and schemas using best practices (e.g., Kimball, Data Mesh, Data Fabric). Collaboration: Work with data scientists, analysts, engineers, and product teams to ensure the availability, usability, and performance of data pipelines. Monitoring & Troubleshooting: Proactively monitor data systems and resolve issues swiftly to ensure reliability and performance. Documentation: Create clear, comprehensive documentation for pipelines, tools, and processes. Mentorship: Support and guide junior data engineers through reviews, pairing, and best practices. Technology Evaluation: Stay updated on the latest technologies and recommend tools that improve data engineering workflows and scalability.