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About the role
AI Applied Scientist II at Microsoft
Required Skills
generative aillmsmachine learningmlopsdeep learningnlpprompt engineeringragresponsible ai
About the Role
The AI Applied Scientist II role involves developing and integrating cutting-edge AI technologies into Microsoft products, focusing on generative AI, foundation models, and responsible AI practices. You'll collaborate across teams to translate research into production-ready solutions that drive product innovation and business impact. This position requires expertise in machine learning, data science, and AI to solve complex customer service challenges.Key Responsibilities
- Research and implement state-of-the-art AI using foundation models, prompt engineering, RAG, and multi-agent architectures
- Fine-tune foundation models using domain-specific datasets and evaluate model behavior on relevance, bias, and hallucination
- Build rapid AI solution prototypes and contribute to production deployment, debugging, and MLOps/AIOps support
- Apply responsible AI practices to identify and mitigate ethical risks including bias, privacy concerns, and security vulnerabilities
- Design, develop, and integrate generative AI solutions using deep learning, fine-tuning techniques, and classical ML
Required Skills & Qualifications
Must Have:
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical/Computer Engineering or related field AND 2+ years experience
- OR Master's Degree in related field AND 1+ year experience
- OR Doctorate in related field OR equivalent experience
- 1+ years of experience with generative AI OR LLM/ML algorithms
Nice to Have:
- Experience with MLOps Workflows including CI/CD, monitoring, and retraining pipelines
- Familiarity with modern LLMOps frameworks (e.g., LangChain, PromptFlow)
- Experience developing and deploying live production systems in C#, Java, React/Angular, TypeScript
Benefits & Perks
- Industry leading healthcare