| Microsoft Careers

What you'll do

• Lead the design and implementation of machine learning models for recommendations and anomaly detection.
• Mentor junior scientists and contribute to model governance and Responsible AI practices.
• Engineer optimal prompts for large language models using advanced techniques like chain-of-thought.
• Fine-tune SLMs to scale solutions efficiently for millions of advertisers.
• Generate tailored guidance, talking points, and follow-up materials using agentic orchestration.

What we're looking for

• Extensive hands-on experience developing machine learning or statistical models for real-world applications.
• Proficiency in Python or R for data analysis and modeling, with knowledge of SQL for data querying.
• Experience with large-scale data processing using tools like Apache Spark or Azure Databricks.
• Expertise in time-series analysis and anomaly detection techniques applied to business contexts.
• Practical experience with prompt engineering and fine-tuning GPT-like models for domain-specific applications.
• Understanding of Responsible AI practices and privacy compliance when applying LLMs.