Transform Microsoft Cloud customers into fans by analyzing and amplifying customer needs and driving the vision to improve Cloud quality, security, and reliability through cutting-edge GenAI and ML solutions.
Requirements
- Atleast 6+ months of experience implementing solutions with LLMs and GenerativeAI
- Experience in Python, PyTorch, TensorFlow, langchain, or other machine learning frameworks.
- Experience delivering AI product features
Responsibilities
- Engage with product and business groups to drive impact of AI projects throughout the life cycle from idea creation through technology transfers, applied research, experimentation, implementation and finally to worldwide availability.
- Work with large-scale computing frameworks, data analysis systems, and modeling environments to build and apply models to real products, and then verify effects through iterations.
- Perform rigorous experiments and evaluations to assess the quality and impact of your solutions and improve them based on data and customer feedback.
- Communicate technical findings and insights effectively.
- Collaborate with cross-functional teams including researchers, applied scientists, engineers, product managers and designers to build tools and improve the end-to-end AI Quality of our production systems.
- Leveraging data from various sources and domains to design and implement innovative solutions that achieve rigorous metrics and address customer needs.
- Ensure compliance to Microsoft Responsible AI standards throughout the AI system lifecycle
Other
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
- 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).
