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Mô tả công việcBuild and training pipelines for Generative AIImplement, optimize with state-of-the-art computer vision modelsCollaborate with teams to integrate computer vision algorithms into larger AI systems and applications.Stay up-to-date with the latest advancements in computer vision research and apply them to enhance our AI projects.Yêu cầu công việcFinal year students or fresh graduates with GPA above 3.2/4 or 8.0/10;Education: Top students from Vietnamese universityEnglish: IELTS 6.0, TOEIC 800, or Cambridge C1 (Nice to have)Experience: Fresh graduates or candidates with less than 2 years of experience.Employment Type: Full-time.Proficiency in programming languages such as Python, C++, or similar, along with experience in deep learning frameworks (e.g., PyTorch).

Mô tả công việcArchitect end-to-end generative AI solutions including Large Language Models (LLMs), multimodal AI systems, and AI-powered applicationsDesign and implement scalable generative AI systems leveraging state-of-the-art models such as GPT, Claude, Llama, and other foundation modelsBuild production-ready generative AI products including conversational AI, content generation, code generation, and intelligent automation systemsDevelop and optimize LLM fine-tuning, prompt engineering, Retrieval-Augmented Generation (RAG), and model alignment techniquesLead cross-functional collaboration with data scientists, ML engineers, product managers, and business stakeholders to deliver complete AI solutionsEstablish MLOps practices for generative AI including model versioning, A/B testing, monitoring, and continuous deploymentMentor engineers and provide technical leadership in generative AI best practices and emerging technologiesResearch and evaluate new generative AI techniques, tools, and frameworks to maintain competitive advantageEnsure responsible AI practices including safety, fairness, privacy, and ethical considerations in all AI systemsYêu cầu công việc3+ years of relevant professional experience in AI/ML with 2+ years specifically in Generative AIDeep expertise in Large Language Models, transformer architectures, and generative AI techniquesHands-on experience with foundation models (GPT-4, Claude, Llama, Gemini) and fine-tuning approaches (LoRA, QLoRA, PEFT)Production experience with generative AI applications including RAG systems, AI agents, and conversational AIStrong programming skills in Python with proficiency in PyTorch, Transformers, LangChain, and modern AI frameworksExperience with cloud platforms (AWS, GCP, Azure) and AI/ML services for model deployment and scalingLeadership experience in guiding technical teams and driving AI product development

AI Engineer with full-stack capabilities in Computer Vision and NLP, supporting the building, testing, and deployment of machine learning models and algorithms. The role works closely with senior engineers and cross-functional teams (product, marketing, data science) to integrate AI features into user-facing products and internal tools. Responsibilities also include improving AI pipeline performance, monitoring and evaluating deployed AI systems in operation, and assisting in the development of AI-powered internal tools such as assistant bots for content generation, marketing workflows, and other internal processes.Mô tả công việcDevelop and test AI-driven features in collaboration with the senior engineering team, focusing on marketing tools, user engagement, and automation products.Assist in building and improving internal AI tools, such as bots for content generation and workflow automation, to enhance team productivity.Support the deployment and maintenance of machine learning models and ensure their effectiveness in production environments.Continuously monitor AI systems and suggest improvements based on user feedback and system performance.Work in an agile environment, participating in sprint planning, development, and testing cycles.Yêu cầu công việcBachelor’s degree in Computer Science, Engineering, Mathematics, Data Science, or a related field.Basic understanding of AI/ML concepts and experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.Proficiency in programming languages like Python, with a solid understanding of coding practices and principles.Familiarity with data manipulation and analysis tools (e.g., Pandas, NumPy).Familiarity with cloud platforms (AWS, GCP, Azure) is a plus.Strong analytical and problem-solving skills, with a willingness to learn and adapt to new technologies and challenges.Good communication skills and the ability to work collaboratively within a teamExperience with project about Computer vision and NLP

MoMo is the market leader in mobile payments in Vietnam, striving to make all transactions fast, easy, and joyful. You will join our Big Data AI team, where we position AI/Machine Learning as the core component of almost every product feature.Specifically, you will operate as a key technical leader in the Moni team—the squad behind MoMo's flagship AI Assistant. Moni currently serves hundreds of thousands of Monthly Active Users, scaling from a chatbot into a fully autonomous AI Agent. As a Senior / Technical Lead, you will drive the architectural decisions and engineering standards that power the next generation of our Agentic AI.Mô tả công việcTechnical Leadership Architecture:Define the technical vision and architecture for autonomous AI Agents.Make critical decisions on tech stacks, model selection, and system design to ensure scalability and reliability.Architect Build AI Agents: Lead the end-to-end development of complex Agentic workflows (Tool Calling, Planning, Reasoning) that integrate deep into the MoMo ecosystem.Multi-Agent Orchestration: Design and implement orchestration layers where multiple specialized agents collaborate to solve intricate user financial tasks.Advanced RAG Strategy: Engineer robust RAG pipelines (Hybrid Search, GraphRAG, Re-ranking) to handle vast knowledge bases with high precision.System Evaluation Quality Assurance: Establish "Gold Standard" evaluation frameworks for Agentic AI (reasoning capabilities, hallucination rates, safety metrics) and drive the optimization loop.Mentorship Best Practices: Mentor senior/junior engineers, conduct code reviews, and set high standards for code quality, MLOps practices, and GenAI engineering across the team.Production Excellence: Partner with DevOps/MLOps to ensure high availability and low latency for AI services serving massive concurrent traffic.Yêu cầu công việcExperience: 5+ years of professional experience in AI/ML/Software Engineering, with a strong track record in leading technical initiatives.Agentic AI Mastery: Deep hands-on experience in building AI Agents and Multi-Agent systems. Proficient in Agentic Design Patterns like Tool Calling, Planning and Reasoning, and frameworks such as LangChain, LangGraph, or Agents SDK.Advanced RAG Search: Expert knowledge of retrieval strategies, vector databases, and semantic search optimization.LLM Model Strategy: Strong capability in selecting and benchmarking Foundation Models (Open vs. Closed source) and applying fine-tuning/alignment (RLHF, DPO) strategies.System Evaluation: Experience implementing rigorous evaluation pipelines for Agentic AI (using Ragas, Langfuse, or custom metrics).Engineering Excellence: Proficient in Python, PyTorch, and modern Data/AI stacks. Experience in designing high-load distributed systems is a plus.Leadership Mindset: Ability to navigate ambiguity, drive technical consensus, and balance engineering perfection with product delivery speed.

Position 4: Data Analyst Intern for Manufacturing (MFG) Support project coordination activities such as inventory cycle counts, reconciliation, and process documentation.Assist in data analysis, reporting, and dashboard development to improve operational transparency and decision-making.Research and evaluate emerging technologies or best practices in automation and compliance management.Develop and maintain process documentation and knowledge-sharing materials.Participate in team engagement and improvement activities, including organizing or co-leading a small team event.Deliver at least two process improvement proposals and maintain consistent reporting quality during the internship. Qualifications Minimum Requirements Currently pursuing a Bachelor’s degree in: Industrial Engineering, Industrial Management or a related field.Strong analytical, organizational, problem-solving, and communication skills.Familiar with data analysis using programming languages (such as SQL, Python, etc.).Proficiency in Microsoft Office tools, especially Excel (Power BI or Power Automate is an advantage).Demonstrated ability to work independently and collaboratively.Eagerness to learn, adapt, and contribute to process improvement initiatives.Be able to work onsite for 4 days per week.Be able to commit to at least a 6-month internship program. Preferred Qualifications Familiarity with data visualization or automation tools (RPA, web browser automation, etc.).Familiarity with web development.Interest or prior coursework in manufacturing, logistics, or compliance.Experience with dashboard creation or process documentation. Position 5: Module Engineer Intern (AF) Currently pursuing a Bachelor's in Computer Science, Data Science, Computer Engineering, or a related field.Graduating Soon: You'll be finishing your degree in 2026 or 2027.English Skills: Ability to explain technical ideas clearly in English.Coursework or experience in statistics, machine learning, data structures/ algorithms, and database fundamentals.Proficiency in Python (pandas, NumPy, scikitlearn) and SQL.Familiarity with one deep learning framework (PyTorch or TensorFlow).Basic understanding of ETL (Extract, Transform, Load)/ ELT (Extract, Load, Transform) concepts and data modeling (star/snowflake).Clear communication; ability to document work and present technical finding Preferred Qualification Welcoming candidate for AI Programming