**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.
