Bringing the State of the Art to Products Build collaborative relationships with product and business groups to deliver AI-driven impact Research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques. – Evaluate model behavior on relevance, bias, hallucination, and response quality via offline evaluations, shadow experiments, online experiments, and ROI analysis. Apply strong software eâŚ
Responsibilities
Fine-tune foundation models using domain-specific datasets. Develop LLM prompts, agents, and query execution workflows, often with tight latency constraints. Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, support MLOps/AIOps. Contribute to papers, patents, and conference presentations. Ensure responsible AI practices throughout the development lifecycle, from data collection to deployment and monitoring. Contribute to internal ethics and privacy policies and ensure responsible AI practice throughout AI development cycle from data collection to model development, deployment, and monitoring.
Required Qualifications
Bachelor's degree in Computer Science, Statistics, Electrical/Computer Engineering, Physics, Mathematics or related field, OR Master's degree OR PHD AND 1+ years of experience working with machine learning libraries to solve real world AI/ML problems Experience with MLOps Workflows, including CI/CD, monitoring, and retraining pipelines. Familiarity with modern LLMOps frameworks (e.g., LangChain, PromptFlow) 1+ years of experience publishing in peer-reviewed venues or filing patents Experience presenting at conferences or industry events 1+ years of experience conducting research in academic or industry settings Strong 2+ software engineering skills, including handsâon development experience in C# and Python for building scalable, highâperformance, and productionâready systems. Experience in working with Generative AI models and ML stacks Experience across the product lifecycle from ideation to shipping
Original Posting
This role is sourced from Microsoft. Apply on Microsoft careers page