P
Private Advertiser
AI Solution Architect
Skills
Google Cloud PlatformDeep LearningMicroservicesMachine LearningAIAWSLinuxAzure
19 days ago
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Important information
Contract type:
Freelance / Contract
Location:
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
Work mode:
Onsite
Published on:
8 October 2026
What they need
Responsibilities:
- Collect and sort out customers' AI requirements for each service scenario based on customers' business status quo and design corresponding AI solutions.
- Design the AI solution architecture based on customer requirements, communicate with business and technical parties about the solution, and promote the implementation of the solution.
- Support the implementation of AI solutions and continuously optimize AI solutions through project implementation and business feedback.
- Local AI market insight and trend analysis.
Technical Skill Required (Product and Solutions):
- Bachelor's degree and graduate degree in computer science, artificial intelligence, machine learning or related majors. At least 5 years of computer related experience and at least 2 years of AI related experience.
- Have a basic command of mainstream LM and orchestration model capability boundaries, such as Open AI (GPT4, GPT-4o, and embedding), DeepSeek, Qianwen, HiAgent, and Dify.
- Be familiar with the technical principles of large model application, RAG, embedding, and LangChain. Have solid Linux basic knowledge. Be familiar with common Linux commands and shell programming.
- Strong communication and expression skills and on-the-spot response skills.
Education and Experience Preferred:
- Bachelor degree or above, majoring in computer, software engineering or AI engineering, etc.
- Professional certifications for AWS, Azure, and Google cloud services are preferred. Have rich experience in enterprise solution architecture and have a deep understanding of the AI industry, be familiar with the solution implementation process and solutions to pain points.
- Have at least two years of AI project experience and large-scale project operation experience and be familiar with the AI solution implementation process and pain point solutions.
- Have a basic command of deep learning applications, mainstream cloud platforms, and microservice architectures, have a good command of the entire data processing process.
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