Việc làm cho sinh viên Đại học Tiền Giang

OverviewMomos is a rapidly growing company headquartered in Singapore and San Diego. Our mission is to help food and beverage, retail, and other multi-location businesses drive their entire customer lifecycle, all powered by AI.At Momos, our core principle is putting our customers at the forefront of everything we do. Since day one, we have embedded valuable feedback and input from our partners into our company culture and product. This collaborative approach has been instrumental in creating a solution that truly meets the needs of our customers. Today, we are proud to be trusted by over 5,000 businesses globally. If you have a passion for food and want to work for a mission-driven company that is actively shaping the future of the F&B industry, we would be thrilled to have you join our team.The RoleThe Product Engineering team is looking for a (Senior) full-stack engineer to drive meaningful impact for our customers. As a full-stack engineer, you will own the design, implementation, and operation of key platform features. We are looking for self motivated individuals from all backgrounds, who are prepared to take on the challenges and opportunities that come from working in a fast paced, early stage startup. Success in this role will lead to increased responsibility and leadership opportunities as Momos continues to scale.Primary Role & ResponsibilitiesBuild powerful web applications using NodeJS and ReactJS.Contribute to technical architecture design for our new products and enhancements to current products.Collaborate closely with other software engineers, product managers, and designers.Help other engineers on the team via mentorship, code pairs and code reviews.Hustle - plain and simple.

We are seeking a Software Engineer with expertise in C# and .NET to join our dynamic development team. In this role, you will develop, and maintain high-performance applications, ensuring scalability, security, and efficiency. You will work closely with cross-functional teams, and contribute to develop and shape our products.If you have a passion for building robust, enterprise-grade applications using modern .NET technologies, this role is perfect for you! The onboarding is scheduled for February or March.Tech stack we are using: SQL Server, Entity Framework, .NET Core, Identity Server, RESTful APIs, Docker, K8s, GraphQL, Amazon AWS services (EC2, S3, SQS, SES, Lambda, ECS, EKS, API Gateway, etc), Elasticsearch, NodeJS, React.js, Redux, Web socket… ResponsibilitiesDesign, develop, and maintain scalable, high-performance applications using C# and .NET (ASP.NET Core, .NET 6/7+).Implement RESTful APIs, microservices, and web applications using best practices.Collaborate with product managers, designers, and other engineers to deliver high-impact solutionsOptimize database interactions using SQL Server, Entity Framework, and other ORM tools.Enhance performance, scalability, and security of applications through optimization and best coding practices.Write clean, maintainable, and testable code while following SOLID principles and design patterns.Involve into the whole SDLC process.Integrate third-party services, APIs, and cloud solutions (AWS, Azure, or GCP).Work with DevOps teams to automate CI/CD pipelines and ensure smooth deployments.Troubleshoot, debug, and resolve production issues, ensuring high system availability.Stay updated with .NET ecosystem advancements and contribute to technology decisions.

- The job holder advises and provides business with insights from massive amounts of structured and unstructured potential data to help shape or meet specific business objectives.- The job holder will build data science solutions using advance machine learning and deep learning methods, recommendation engines, statistical analysis, data mining and data visualization techniques, to create solutions that enable enhanced business performance.Key Accountabilities:Data Solutioning:- Build algorithms and work with machine learning and deep learning tools to deliver advance analytics solutions across the firm including recommendation engines, customized data models, customer journeys, graph modes, etc.- Mine and analyze data from company’s databases to drive optimization and improvement of business strategies.- Use predictive modelling to increase and optimize customer journey experiences, revenue generation and other business outcomes.- Analyze data for trends and patterns and interpret the data with clear objective in mind.- Execute and review data science projects in an agile manner and in compliance with internal regulatory requirements.Data Insighting:- Lead the identification and interpretation of meaningful and actionable insights from large data and metadata sources.- Develop processes and tools to monitor and analyze model performance and data accuracy.- Interact with 1-2 squads to identify questions and issues for data analysis.- Assess the effectiveness and accuracy of new data sources and data gathering techniques.

As a DBA, you’ll play a critical role in designing, implementing, and maintaining robust database solutions that power our global digital transformation projects. You’ll work closely with cross-functional teams to ensure data integrity, performance, and scalability across diverse environment Key ResponsibilitiesDesign, develop, and maintain SQL and NoSQL database systemsImplement and optimize data models (e.g., dimensional modeling, star schema)Manage data integration workflows using ETL/ELT tools and data pipelinesMonitor database performance and troubleshoot issues proactivelyCollaborate with cloud architects to deploy and manage databases on AWSEnsure data security, backup, and disaster recovery procedures are in placeProvide technical guidance and mentorship to junior DBAs and developersDocument database architecture, processes, and best practices

HO25.530 - Senior AI Expert- Tham gia cố vấn và xây dựng chiến lược, định hướng phát triển AI cho Ban lãnh đạo- Giám sát, điều phối và phát triển các dự án, sản phẩm hoặc dịch vụ AI trong ngân hàng.Nhiệm vụ chính:1. Trực tiếp tham gia phát triển các dự án AI trọng điểm2. Tham gia xây dựng và triển khai chiến lược, định hướng cho các dự án AI3. 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 với các đơn vị tại Trung tâm AI (LLM, NLP, Computer Vision, Chatbot, R&D) và các đơn vị liên quan (khối Dữ liệu, các Trung tâm phát triển phần mềm, Kiểm thử, BA và khách hàng) 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. Tham gia tuyển dụng nhân tài, huấn luyện và phát triển đội ngũ

Xây dựng giải pháp và lập trung các tầng xử lý trên hệ thống; DataWarehouse, Data Lake Data Model, BI, Downstream system, ....Tích hợp tất cả các nguồn dữ liệu từ các hệ thống ứng dụng vào Data Warehouse/Data Lake.Hỗ trợ các Đơn vị nghiệp vụ khi có nhu cầu khai thác dữ liệu từ hệ thống MIS/DW.Thực hiện phân tích các mô hình dữ liệu, dự đoán, dự báo, báo cáo phân tích,…Báo cáo định kỳ theo quy định hoặc theo yêu cầu của cấp quản lý trực tiếp.Tham gia các dự án về Data Warehouse/Data Lake theo sự phân công

Perform hands-on coding and code review as other peer developers as needed.Understand the requirements of the customer or business and utilize this knowledge to develop applications that are consistent with this.Design, develop, review, implement, maintain and manage continuous integration, build management and deployment scripts, systems, and any code as required.Participate in Agile/Scrum activities: daily standup, demo session, retrospective, estimate, and planning, etc.Provide mentoring/training for junior members if any.Perform other tasks assigned by the Line Manager.

LG CNS đang tìm kiếm các lập trình viên Back-end đủ tiêu chuẩn tham gia vào nhóm. Bạn sẽ phát triển trong việc phát triển ứng dụng web trong các lĩnh vực khác nhau, chẳng hạn như: AI Machine learning / Data , Security & Solution, DX…Đảm bảo hiệu suất, chất lượng và khả năng đáp ứng tốt nhất có thể của các ứng dụng ở phía Back-endLuôn cập nhật các công nghệ mới nổiTrao đổi chi tiết khi phỏng vấn

• Knowledge of the process inside the concrete batching plants• Achieve personal annual sales tasks assigned by the company. • Develop the existing and potential customer base of the construction sector to maximize order intakes and increase sales.• Visit regularly and frequently potential and existing customers receiving information regarding market trends and new sales opportunities. • Report information about competitors, their selling price, their selling strategy and their advantages and weaknesses to manager.• Report new market needs, new product requirements, and specific customer needs to develop new sales strategies. • Report new and existing customers situation, their sales trend, their possible new investments and their financial situation. • Organize technical trainings and seminars for customers to improve their knowledge of our products and be more familiar with our company. • Maintain up-to-date awareness of industry trends, technical development, market activities and industry intelligence to help define the marketability of products and report to manager identified trends that could affect targets. • Collect customer data/ information/ feedback/ expectations for presentation/ seminars/exhibitions to promote the products and services. • Assisting with regular business forecasting and annual budgeting. • Coordinate the customer to deal with the pre-sales and after sales issues. • Proficient in QMATE and able to handle daily orders independently, follow up technical communication and delivery progress of important orders. • Other tasks assigned by General Manager.

- Continuous Integration and Continuous Deployment (CI/CD) Pipelines - Infrastructure as Code (IaC) using tools like Terraform - Container Orchestration with Kubernetes - Monitor and log tools in Kubernetes environments - Familiar with Cloud services (AWS, Microsoft Azure, GCP, Alibaba Cloud, etc.)- Understand and build automation processes- Conduct load tests and security scans on systems to generate reports and recommendations - Able to manage large-scale applications with numerous servers - Ensuring hardware, software, network upgrades, installation, re-installs, changes, and relocations are completed as required- Set up and configure Web Server (Apache/ IIS/ Nginx), and Database (MySQL, SQL Server)- Troubleshoot web applications- Design, install, and configure server maintenance, and troubleshoot Web and Database servers in Linux and Windows OS - Ensure the server’s uptime and health- Consult system architecture solutions and support internal/external clients- Fast and efficient troubleshooting of server issues- Analyze and check system and application graphs/logs to pinpoint the issue spots and performance optimization- Conduct security patches and server updates for the system regularly- Daily and monthly report system status- Support developers on daily tasks- Other tasks assigned.

As a QA Automation Engineer in our camera systems group, you will play a crucial role in technically leading, designing, developing, and optimizing automated test solutions for intelligent embedded camera systems and user interfaces and evaluating Computer Vision and AI algorithms.You will be responsible for the full lifecycle of test automation development, from conceptualization to deployment, while also contributing to backend API test design and implementation. This position requires a deep understanding of modern UI frameworks, strong full-stack test automation principles, and experience with camera technologies or similar data-intensive applications.We are seeking a highly skilled and detail-oriented Quality Assurance Automation Engineer who can lead our Vietnam embedded automation efforts.The ideal candidate is passionate about leading successful deployments of commercial systems for the benefit of our customers. The Quality Assurance Automation Engineer will be responsible for guiding the development, and hands-on participation in the quality assurance activities for our Embedded AI platform that is the core intelligence of our security surveillance cameras, appliances, and cloud services. This engineer will help drive our releases, ensure smooth and timely deployment of new features and bug fixes, and work with a team of quality engineers to maintain the test automation framework and overall product quality.   Job Description:Collaborate with a small team of Quality assurance engineers and Quality technicians.Ensure that the Motorola Solutions Embedded AI group produces the highest quality, smartest, easiest to use products in the surveillance industry.Help lead the design & implementation of a quality evaluation pipeline, workflows, and reporting service for automatically testing IoT devices code prior to release.Contribute to a comprehensive quality assurance strategy to ensure the reliability and performance of our edge-based video surveillance cameras and cloud-based services.Execute quality assurance testing strategies for OTA firmware releases for cameras and appliances Work with the quality team to develop an exhaustive test approach, including pass fail metrics, real and synthetic video datasets, and automation as part of a comprehensive test suite for each new feature.Collaborate with product management, embedded software developers, algorithm developers, data scientists, and user interface engineers to define system requirements and use-cases for each new analytics feature.Coordinate with software development teams to define release scope, objectives, and timelines.Develop and maintain quality metrics, reports, and documentation to track and communicate product quality improvements.Analyze test results, identify trends, and provide recommendations for process improvements.Stay up-to-date with industry best practices and emerging technologies related to quality assurance and AI-based video surveillance systems.Support our cross-team software escalation process, ensuring timely resolution of critical quality issues and effective communication with stakeholders.Identify and close testing holes in current test processes and automationCreate and execute test plans, test cases, and test scripts for both manual and automated testing.Conduct off-site outdoor field testing of analytics features on camera hardware

Đưa ra lời khuyên cho các Developer theo quan điểm của đối tác. Ước tính số giờ làm việc cho một dự án phức tạp (khoảng 5 người) và giải thích kết quả cho phía Nhật Bản. Hỗ trợ Leader, Manager trong việc báo cáo tình trạng dự án. Thiết kế sơ bộ (external design) dựa trên nội dung sản phẩm. Nắm rõ các yêu cầu mong muốn về bản thiết kế chi tiết (internal design) từ khách hàng và giải thích cho developer. Nắm rõ, phân tích và cập nhật các thông tin liên quan đến dự án (ví dụ: khởi động dự án, quá trình thực hiện và kết thúc dự án, hoặc khi có phát sinh yêu cầu/ vấn đề cần giải quyết) Nắm rõ tình hình công việc và quản lý tiến độ công việc của nhóm.

As a Senior Embedded Driver Engineer, you will play a key role in developing the foundational software that enables our System-on-Chip (SoC) platforms to perform reliably, efficiently, and intelligently. You will work at the intersection of hardware and low-level software, ensuring seamless integration across Linux and QNX environments while contributing to the technical excellence of our embedded systems in the Automotive Chiplet Systems (ACS) project, see reference: Your main responsibilities include:Leading the design, development, and optimization of critical device drivers for Linux and QNX operating systems.Developing and maintaining Linux kernel modules and advanced driver components for QNX.Porting existing Linux kernel drivers to QNX to ensure cross-platform compatibility and stable system behavior.Designing, implementing, and enhancing essential embedded software components within complex SoC-based environments.Shaping and improving multi-layered Continuous Integration (CI) environments to support scalable and reliable embedded software workflows.Collaborating closely with hardware, platform, and system engineering teams to ensure high-quality system integration and overall platform performance.

We are seeking a highly skilled Data Engineer with deep expertise in Spark and AWS Glue to design, develop, and maintain scalable ETL pipelines. The ideal candidate will have experience working with large-scale data processing, cloud-native services, and modern data architecture.Responsibilities:Collaborate with stakeholders to communicate complex technical concepts effectively.Provide technical guidance and mentorship to junior engineers and architects.Actively participate in the evaluation and selection data modeling and technologies.Design, develop, and optimize ETL/ELT pipelines using AWS Glue and PythonBuild and maintain data lakes and data warehouses on AWS (e.g., S3, Redshift).Collaborate with data analysts, scientists, and business stakeholders to understand data requirements.Implement data quality, governance, and security best practices.Monitor and troubleshoot Spark jobs and Glue workflows for performance and reliability.Develop and maintain documentation for data workflows and architecture.Ensure the quality delivery for batch ETL

The roleRequirement Analysis, Architectural Design, Detailed Design, Implementation, Unit Test, Integration Test, Qualification Test for HW driver, Embedded Software.Teamwork and handle day-to-day work efficiently and independently.

Key ResponsibilitiesQuality Assurance & AutomationAnalyze business requirements and translate them into test plans and detailed test cases.Develop, execute, and maintain automated test scripts for web, mobile, and API testing.Perform functional, regression, integration, and performance testing.Identify, document, and track software defects; collaborate with developers to resolve issues.Continuously improve and optimize automation frameworks and test coverage.Release ManagementCoordinate and manage end-to-end software release processes across development, QA, and operations teams.Ensure all release dependencies, code merges, version control, and deployment steps are executed accurately and on schedule.Maintain release documentation including release notes, rollback plans, and deployment checklists.Communicate release scope, timelines, and risks to relevant stakeholders.Monitor post-release quality and coordinate hotfixes when needed.  

Participate in Technical Specification & Test Cases in the Agile/Scrum development processDevelop clean, scalable code using .NET Core in Micro-service Architecture & Cloud-nativeDevelop backend Data-storage & Data-flows with Postgres, ES, Kafka and various Cloud data toolsetsTest and deploy system (micro-)services & (micro-)apps on AWS EKS/Kubernetes with Docker toolsetImprove existing system: revising, updating, refactoring and debugging codeMonitor and optimize system performance, addressing any issues as they arise.Develop documentation throughout the software development life cycle (SDLC)Serve as an expert on the system and provide technical support to other Internal teams

- Manage infrastructure across on-premise clusters and AWS cloud, ensuring high availability and scalability.- End-to-End MLOps Pipeline: Own the ML lifecycle from data ingestion, model training, and validation, to deployment and monitoring, using the latest MLOps practices. Also design, impelemnt and maintain feature store pipeline.- Develop and maintain Infrastructure as Code (IaC) using Terraform for provisioning cloud and on-prem resources.- Databricks & ML Deployment: Architect and deploy large-scale machine learning models on Databricks, ensuring high availability, fault tolerance, and compliance with enterprise-grade security standards.- Deploy and manage containerized ML services CI/CD using Kubernetes, with GitOps practices via ArgoCD for ML Platform across Cloud and OnPrem.- Chatbot RAG & LangChain Expertise: design, deployment, and optimization of Retrieval- Augmented Generation pipelines leveraging LangChain to build scalable, performant AI applications.- Network understanding for configure VPCs, subnets, security groups, VPNs, and firewalls in AWS and on-prem environments.- Monitor system performance, troubleshoot issues, and implement improvements for reliability and efficiency.