Kinh nghiệm deploy, scale, bảo trì hệ thống AI production (monitoring, optimization, lifecycle)
Giỏi giải quyết bài toán CV phức tạp: image understanding, detection, tracking, video analytics, multimodal AI
Trách nhiệm
Xây dựng vòng đời mô hình AI từ nghiên cứu đến giám sát và cải tiến liên tục
Phát triển giải pháp Computer Vision, Generative AI, VLM cho giám sát, phân tích, tự động hóa
Tối ưu hóa và triển khai mô hình trên cloud và edge, đảm bảo hiệu năng, mở rộng, tin cậy
Thiết kế kiến trúc AI và pipeline MLOps: thu thập dữ liệu, gán nhãn, huấn luyện, validation, deploy, giám sát, quản trị
Có thì tốt
Kinh nghiệm AI cho Smart City, ITS, Security & Surveillance, IoT, Consumer Tech
Xây dựng ứng dụng Generative AI, multimodal RAG, AI agents, foundation model integration
Distributed training, large-scale data processing, GPU cluster optimization
Tóm tắt bằng AI từ JD gốc, đọc JD gốc trước khi ứng tuyển.
**About VinSmart Future**
*VinSmartFuture (formerly VinIT) is a technology subsidiary of*
***Vingroup***
*, leading the development of a comprehensive*
***SuperApp and digital ecosystem***
*that serves tens of millions of users across key sectors: payments, healthcare, education, mobility, commerce, and entertainment.*
*Our mission is to build the*
***“Digital Core”***
*— the foundational technology platform that powers Vingroup’s unified digital operations, enabling smart management, data-driven decision-making, and scalable infrastructure on a national level.*
**Senior AI Engineer – (Mid/Senior)**
***Work Location:***
***Ho Chi Minh City/ Ha Noi:***
*(Department: AI for SmartCity)*
**Job Overview**
As a Senior AI Engineer, you will be responsible for designing, developing, and deploying scalable AI solutions that address complex business and operational challenges. You will lead the end-to-end lifecycle of AI products—from data strategy and model development to deployment and optimization—while collaborating closely with cross-functional teams to deliver production-ready solutions across Smart City and intelligent platform initiatives.
**Key Responsibilities**
Design, develop, and deploy production-grade AI/ML solutions, taking ownership of the entire model lifecycle from research and experimentation to monitoring and continuous improvement.
Lead the development of advanced Computer Vision, Generative AI, and Vision-Language Model (VLM) solutions to solve real-world challenges across Smart City, surveillance, analytics, and intelligent automation domains.
Optimize and deploy AI models across cloud and edge environments, ensuring high performance, scalability, reliability, and efficient resource utilization on specialized hardware platforms.
Design and implement scalable AI architectures and MLOps pipelines covering data collection, labeling, training, validation, deployment, monitoring, and model governance.
Collaborate closely with Product Managers, Software Engineers, Data Scientists, and business stakeholders to translate business requirements into end-to-end AI solutions with measurable impact.
Drive technical decision-making, evaluate emerging technologies, and establish best practices for AI development, deployment, and operational excellence.
Develop and optimize real-time video analytics and streaming systems, ensuring low latency, high throughput, and production-grade reliability.
Mentor engineering teams, contribute to technical leadership, and foster a culture of innovation, knowledge sharing, and engineering excellence.
**Qualifications**
**Required**
Bachelor's degree or higher in Computer Science, Artificial Intelligence, Data Science, Information Technology, Engineering, or a related technical discipline.
5+ years of hands-on experience in AI/Machine Learning with proven success delivering AI solutions in production environments.
Strong proficiency in Python and/or C++, with extensive experience using modern deep learning frameworks such as PyTorch or TensorFlow.
Deep understanding of state-of-the-art machine learning architectures, including Computer Vision, Generative AI, Transformers, Vision Transformers (ViT), Diffusion Models, and Vision-Language Models (VLMs).
Proven experience deploying, scaling, and maintaining AI systems in production, including performance monitoring, optimization, and lifecycle management.
Strong expertise in solving complex Computer Vision problems, including image understanding, object detection, tracking, video analytics, and multimodal AI applications.
Hands-on experience optimizing AI models using technologies such as TensorRT, ONNX, model quantization, and hardware acceleration techniques.
Experience building and deploying real-time video processing systems using NVIDIA DeepStream, GStreamer, or similar streaming frameworks.
Strong understanding of MLOps practices and tools, including MLflow, Weights & Biases (W&B), Docker, CI/CD pipelines, and model monitoring frameworks.
Experience working with cloud platforms, distributed systems, and microservices architectures to support large-scale AI applications.
**Preferred Qualifications**
Experience delivering AI solutions within Smart City, Intelligent Transportation Systems, Security & Surveillance, IoT, or Consumer Technology environments.
Experience building Generative AI applications, multimodal RAG systems, AI agents, or large-scale foundation model integrations.
Familiarity with distributed training, large-scale data processing, and GPU cluster optimization.
Contributions to academic research, patents, open-source AI frameworks, or published technical content.
Experience leading technical initiatives, mentoring engineers, and driving architectural decisions across cross-functional teams.
Master's degree or PhD in Artificial Intelligence, Computer Science, Machine Learning, or a related field.
