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Career International AP (Hong Kong) Limited Hiring! Full Time AI Engineer (Cloud Services Architect) in Hong Kong - Ricebowl
AI Engineer (Cloud Services Architect)
Career International AP (Hong Kong) Limited
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Job Description
Responsibilities
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.
AI Service Management :
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.
Project Leadership :
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.
Cost Optimization :
Develop cost-effective strategies for cloud resource management and operations.
Conduct regular assessments of cloud performance and security to identify areas for improvement.
Compliance and Security :
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.
Qualifications
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.
Technical Skills :
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.
Preferred Attributes
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
Full-time
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.
AI Service Management :
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.
Project Leadership :
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.
Cost Optimization :
Develop cost-effective strategies for cloud resource management and operations.
Conduct regular assessments of cloud performance and security to identify areas for improvement.
Compliance and Security :
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.
Qualifications
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.
Technical Skills :
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.
Preferred Attributes
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
Full-time
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