Applied Scientist II AI Ops & Machine Learning at Microsoft

About the Team:

Role Overview:

Key Responsibilities:

• Collaborate with engineering and product teams to develop AI-powered solutions for live site management.
• Build scalable AI/ML models for incident management, root cause analysis, and prevention.
• Design and implement algorithms for anomaly detection, predictive analytics, and error log interpretation.
• Integrate ML solutions end-to-end from data collection to deployment and monitoring.
• Prototype emerging approaches in

  RAG

  ,

  SLM

  , and

  Agentic workflows

  for site reliability.
• Champion data security, observability, and performance best practices.
• Automate incident response and optimize AI pipelines for continuous improvement.

Required Qualifications:

• Bachelor s in Statistics, Econometrics, Computer Science, Electrical Engineering, or related field + 3 years of experience
  OR Master s + 3 years OR PhD OR equivalent experience.
• Proficiency in Python or similar languages with strong coding and debugging skills.
• Solid understanding of ML/AI algorithms and data science techniques.
• Hands-on experience with deep learning, predictive modelling, or time-series analysis.
• Strong communication skills and ability to translate AI concepts for product teams.

Preferred Qualifications:

• Experience in AI-driven operations and Site Reliability Engineering (SRE).
• Expertise in AI Ops, anomaly detection, and incident management.
• Familiarity with Agentic workflows and production ML systems.
• Passion for learning new technologies and delivering end-user quality.

Other Requirements:

• Must pass the

  Microsoft Cloud Background Check

  upon hire and every two years thereafter.

Why Join Microsoft

Apply Now: