职位来源于实习僧。

Role Overview: You will work alongside experienced developers to design, build, and deploy Power Platform solutions (Power Apps, Power Automate, Power BI) while gaining hands-on experience integrating AI technologies like Azure AI services, OpenAI, and custom machine learning models. This role is ideal for candidates passionate about low-code development, automation, and cutting-edge AI applications. Key Responsibilities:

• Collaborate on Power Platform projects, including canvas/model-driven apps, automated workflows, and data visualization dashboards.
• Assist in developing AI-powered solutions using Microsoft Azure AI (Cognitive Services, Bot Framework) or OpenAI APIs.
• Participate in end-to-end development cycles: requirements gathering, prototyping, testing, and deployment.
• Learn to integrate Power Platform with Dynamics 365, SharePoint, and other Microsoft ecosystem tools.
• Explore AI use cases such as natural language processing, predictive analytics, and intelligent process automation.
• Document code, contribute to technical discussions, and stay updated on emerging Microsoft/AI technologies. Requirements:
• Recent graduate or final-year student in Computer Science, Software Engineering, or a related field.
• Basic understanding of programming (C#, .NET, JavaScript, or Python) and relational databases (SQL).
• Interest in low-code platforms (Power Platform experience is a plus).
• Familiarity with AI/ML concepts (e.g., machine learning frameworks, REST APIs) is advantageous.
• Strong problem-solving skills, adaptability, and eagerness to learn new technologies.
• Effective communication and teamwork abilities. Preferred Qualifications:
• Microsoft Power Platform certifications (PL-900/PL-100/PL-200).
• Experience with AI projects (academic or personal) involving chatbots, computer vision, or data analysis.
• Exposure to Azure services (Logic Apps, Azure Functions, Dataverse).
• Knowledge of DevOps practices (CI/CD, Git). 职位薪资： 150-180/天 想要了解更多，可以访问公司官网：https://www.bamboodesign.com.cn/cn/index.html