Microsoft is looking to advance its mission to empower every individual and organization on the planet to achieve more by developing and integrating cutting-edge AI technologies into its products and services, ensuring they are inclusive, ethical, and impactful.
Requirements
- 1+ years of experience with generative AI OR LLM/ML algorithms
- Experience with MLOps Workflows, including CI/CD, monitoring, and retraining pipelines.
- Familiarity with modern LLMOps frameworks (e.g., LangChain, PromptFlow)
- 3+ years of experience publishing in peer-reviewed venues or filing patents
- 1+ year of experience developing and deploying live production systems
- 1+ years of experience working with Generative AI models and ML stacks
- Experience across the product lifecycle from ideation to shipping
Responsibilities
- 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.
- Fine-tune foundation models using domain-specific datasets. Evaluate model behavior on relevance, bias, hallucination, and response quality via offline evaluations, shadow experiments, online experiments, and ROI analysis.
- 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. Translate research into production-ready solutions and measure their impact through A/B testing and telemetry that address customer needs.
- Design, develop, and integrate generative AI solutions using foundation models and more.
- Develop, train, and evaluate machine learning models and algorithms to solve complex business problems, using modern frameworks and state-of-the-art models, open-source libraries, statistical tools, and rigorous metrics
Other
- Bachelor's degree in Computer Science, Statistics, Electrical/Computer Engineering, Physics, Mathematics or related field AND 4+ years of experience in AI/ML, predictive analytics, or research
- Ability to meet Microsoft, customer and/or government security screening requirements
- Ability to use data to identify gaps in AI quality, uncover insights and implement PoCs to show proof of concepts.
- Share insights on industry trends and applied technologies with engineering and product teams.
- Maintain clear documentation of experiments, results, and methodologies.
