Microsoft Machine Learning Engineer 

Taiwan, Taoyuan City 

25531063

We’re hiring across several focus areas, and your role will align with your expertise and interests:

• Autonomous Agent Developmentfor Risk Decision – building LLM-based decision-making agents and advancing a multi-agent risk system
• AI Integration & MLOps– enabling scalable infrastructure, data pipelines, and operational excellence
• Quality & Integration– focusing on agent behavior testing, UI/UX integration, and platform reliability

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
  • OR equivalent experience.
• 3+ years of experience in software engineering, data science, or machine learning
• 2+ years experience with LLMs, prompt engineering, and the OpenAI API
• 2+ years experience with Azure services, cloud infrastructure, and CI/CD pipelines

Preferred Qualifications:

• Experience working with multi-agent frameworks such as AutoGen, Semantic Kernal and Langchain.
• Knowledge of MLOps practices, including containerization, infrastructure-as-code, and monitoring
• Exposure to Power Platform, Microsoft Graph API, or enterprise integration technologies
• Experience debugging skills and a solid understanding of security and data protection principles
• Ability to communicate technical concepts effectively with both technical and non-technical stakeholders
• Proficiency in Python for development and scripting

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.

As a machine learning engineer, you will:

• Design and optimize multi-agent AI architectures that enable autonomous risk assessment and decision-making at scale, leveraging agent collaboration to reduce huma manual effort and minimize false positive rates.
• Implement agentic ML infrastructure that automates the full model development lifecycle enabling continuous learning, adaptive optimization, and scalable risk decisioning.
• Build and evolve AI-driven solutions that improve the accuracy, speed, and adaptability of fraud detection across a wide range of Commerce scenarios.
• Develop infrastructure and MLOps pipelines to support continuous training, deployment, and monitoring
• Conduct rigorous behavior testing and validation, focusing on performance, safety, and real-world edge cases
• Integrate AI agents with Azure AI services, Microsoft Graph API, Power Platform, and internal systems
• Apply best practices in security, compliance, and privacy to all aspects of agent development
• Partner closely with product managers, engineers, and data scientists to translate complex business challenges into scalable technical solutions, ensuring alignment and impact across stakeholders