AI Engineer (Cloud Services Architect)
Summary
Designs and deploys scalable cloud infrastructure for AI services, leading multi-cloud integration and AI model operationalization while optimizing costs and security.
We are seeking a highly skilled Cloud Infrastructure Specialist with extensive experience in cloud computing, AI service deployment, and multi-cloud integration. The ideal candidate will have a proven track record of designing and implementing robust cloud infrastructures, optimizing costs, and leading AI-driven projects.
Key Responsibilities Cloud Infrastructure Development- Design and implement scalable cloud infrastructures using public (Alibaba Cloud, Tencent Cloud, Google Cloud) and private cloud solutions.
- Lead the architecture and deployment of AI models and cloud services, ensuring optimal performance and security.
- Oversee the end-to-end deployment of AI cloud services, including model training, inference, and operationalization.
- Collaborate with cross-functional teams to integrate AI capabilities into existing systems and improve overall service delivery.
- Act as a technical lead in AI research projects, mentoring teams and guiding the development of AI applications.
- Manage partnerships with academic institutions to bridge the gap between research and commercial AI solutions.
- Develop cost-effective strategies for cloud resource management and operations.
- Conduct regular assessments of cloud performance and security to identify areas for improvement.
- Implement and maintain cloud security protocols to protect sensitive data and ensure compliance with industry standards.
- Regularly audit cloud infrastructure for vulnerabilities and implement corrective measures.
Education :
Bachelor’s degree in Information Science, Computer Science, or a related field.
Experience- 8+ years in cloud infrastructure development, SaaS product development, and AI cloud service deployment.
- Proven experience with hybrid cloud environments and multi-cloud integration.
- Proficient in programming languages such as Python and Java.
- Strong knowledge of cloud native frameworks, AI model deployment, and container orchestration (Kubernetes).
- Familiarity with cloud security practices and risk management.
- Strong analytical and problem-solving skills.
- Excellent communication and interpersonal skills to work collaboratively with diverse teams.
- Passion for innovation and continuous learning in the cloud and AI sectors.
- Fluent in English and Mandarin.