Microsoft AI/ML Engineer 

Taiwan, Taoyuan City 

474785942

You will play a crucial role in developing the Azure Resource Graph team’s direction in machine learning, Generative AI model fine-tuning, Agent creation and deployment, AI evaluation and scaling.

• Bachelor's degree in CS/Applied Mathematics/Statistics/DS/ML or related fields
• Experience developing machine learning solutions.
• Experience working with Web Scraping frameworks, Programming Language Grammars, and Parser Generators
• Experience with DevOps frameworks and CI/CD pipelines shipping quality software
• Technical leadership experience in data driven software engineering

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

• • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

• Bachelor's Degree in Computer Science or related technical field AND 1+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR Master's Degree in Computer Science or related technical field with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• 1+ years of experience in using agents/AI tools including, but not limited to Cline, Roo.
• 1+ years of experience with Visual studio.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft will accept applications for the role until October 23, 2025.

• Perform software development in Python, C#, C++ as needed to build LLM training, testing, and inference modules
• Supports identification of dependencies, and the development of design documents for a product feature with oversight.
• Leads the creation and implementation of innovative AI software using traditional ML, NLP, and statistical learning approaches
• Able to break down work items into tasks, provides estimation, and manage ambiguous requirements.
• Reviews current developments and proactively seeks new knowledge that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.
• Apply best practices, coding standards and patterns.
• Develop a deep understanding of the Azure Resource Graph and Azure best practices.