Azure Machine Learning service provides a powerful and scalable platform for training and using ML and AI models. Most experimentation starts interactively to explore data, algorithms, and develop training scripts. Customers are asking for a managed development environment in the cloud with CPU or GPU, a Jupyter Notebook interface, and SSH or remote desktop when different tools are needed.
You'll be the product manager for this new scenario in Azure Machine Learning, building on the popularity of the Data Science virtual machine (DSVM) with popular ML and AI tools pre-installed. You need to develop the scenarios and requirements for the team, prioritize the initial release, make hard tradeoffs, then build usage. The interactive data science experience is our first scenario, and we have more ideas to build an entry point to Azure ML for hackathons, workshops, and classrooms.
A successful product/program manager will have: Atleast 5 years of experience as a PM Deep knowledge of Azure A passion for the data science process Curiosity about new tools and open source projects Know how to work with enterprises architects and cloud teams to integrate into their infrastructure and security. You will build on your Azure knowledge by managing our relationship with the Azure compute, storage, networking, and security teams, including driving our requirements into planning and tracking delivery.