Mô tả công việc
Job Description
Company website:Head Office: H3 Building, 1st Floor, 384 Hoang Dieu Street, Khanh Hoi Ward, HCMC
About us: Cloud Ace Vietnam, a premier strategic partner of Google Cloud, delivers end- to- end cloud solutions, from consulting to system development and managed services. With a team of certified GCP experts and a strong presence across Asia, we empower businesses in banking, fintech, Web3, and beyond to achieve digital transformation. Join our innovative, collaborative team to grow your cloud career and make an impact!
Representative Office: 2nd Floor, 25T2, Hoang Dao Thuy Street, Yen Hoa Ward, Hanoi
We are looking for a forward- thinking AI Engineer to join our innovative team. In this role, you will leverage the full power of the Google Cloud Platform to design, build, and deploy next- generation AI solutions, including cutting- edge agentic systems. If you&039;re passionate about solving complex problems and building the future of AI on the cloud, we want to hear from you.
Responsibility
Stay Ahead of the Curve: Continuously explore and apply the latest advancements in GenAI, Google Cloud services, and Big Data technologies.
Lead Agentic AI R&D: Spearhead research and development of sophisticated AI agent applications and multi- agent systems, leveraging GCP&039;s AI infrastructure.
Design & Build on GCP: Architect, develop, and deploy scalable AI and Machine Learning applications specifically on the Google Cloud Platform (GCP).
Collaborate & Innovate: Work closely with our Data, BI, and Business teams to translate complex needs into tangible, high- impact technical solutions.
Implement MLOps: Design and maintain robust MLOps pipelines on Vertex AI for continuous integration, training, and deployment (CI/CD/CT).
Customer- Facing Solutions: Engage directly with customers to understand requirements, demonstrate capabilities, and deliver powerful AI solutions.
End- to- End Model Management: Build, train, and manage the complete lifecycle of ML models using Vertex AI (Pipelines, Training, Endpoints), BigQuery ML, and TensorFlow.