FAQs
What is the primary focus of the Azure Machine Learning team at Microsoft?
The primary focus is to democratize machine learning and ensure its accessibility to all enterprises, developers, and data scientists, serving billions of requests daily.
What kind of models will I be working with as part of the Inference team?
You will be working with state-of-the-art models including OpenAI models like ChatGPT, as well as models for Bing and Office.
What programming languages should I be proficient in for this role?
You should have experience in C/C++ and/or Python development, along with knowledge of OSS, Docker, Kubernetes, and GOLANG.
What level of experience is required for this position?
A minimum of 1+ years of software development experience is required.
What kind of background is preferred for applicants?
A B Tech or M Tech in computer science, engineering, mathematics, or a related field is preferred, or equivalent industry experience.
Is experience with large-scale machine learning models necessary?
Yes, practical experience hosting and running large-scale machine learning models in enterprise-grade applications is necessary.
Are there any specific security clearance requirements for this position?
Yes, candidates must pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
What kind of team environment should applicants expect?
Applicants can expect a collaborative, innovative team environment that upholds the pursuit of excellence.
Is prior experience working in a geo-distributed team important for this role?
Yes, experience working in a geo-distributed team is preferred.
What responsibilities will I have regarding performance optimization?
You will be tasked with addressing high throughput/low latency scenarios and spearheading performance optimization capabilities.