The Azure Customer Experience Platform (CXP) team's mission is to 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
- Hands-on experience building intelligent AI Reasoning agents using Machine Learning and language model frameworks with LLMs / SLMs
- Experience in Python, PyTorch, TensorFlow, langchain, or other machine learning frameworks.
- Relevant internship or prior work experience, e.g., statistics, predictive analytics, research, GenAI.
Responsibilities
- Drive AI projects through their entire life cycle from idea creation through applied research, implementation, experimentation 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.
- Integrate ML models into production systems, monitor and optimize their performance, troubleshoot issues, and iterate on improvements.
- 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.
- Collaborate with cross-functional teams including researchers, applied scientists, engineers, product managers and designers
- Communicate technical findings and insights effectively.
Other
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND relevant internship experience (e.g., statistics, predictive analytics, research)
- Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
- 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.
- Work site: 3 days / week in-office
