Transform Microsoft Cloud customers into fans by analyzing and amplifying customer needs and driving the vision to improve Cloud quality, security, and reliability
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
- Relevant prior work experience, e.g., statistics, predictive analytics, research, GenAI
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
Responsibilities
- Engage with product and business groups to drive AI projects through their entire life cycle from idea creation through applied research, experimentation, implementation and finally to worldwide availability
- 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
- Integrate ML models into production systems, monitor and optimize their performance, troubleshoot issues, and iterate improvements
- Collaborate with cross-functional teams including researchers, applied scientists, engineers, product managers and designers
- Ensure compliance to Microsoft Responsible AI standards throughout the AI system lifecycle
- Stay abreast of the latest advancements in machine learning, information retrieval, and recommendation systems, and contribute to the company's intellectual property through patents and publications
Other
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
- 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers)
- Travel 0-25%
- Work site: 3 days/week in-office
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter
