Microsoft Corporation Principal AI/ML Architect- M365 in Suzhou, China
Microsoft 365 is at the core of our Company’s mission to enable people and organizations to achieve more. Key to this effort is one of the largest internal data engineering operations in Microsoft that focusses on helping drive value & insights for customers while also enabling key decision making for the wider effort across service delivery as well as business operations.
We are looking for an AI/ML Architect to drive our strategies and investments in making Microsoft 365 the most intelligent service in the world, and deliver compelling product experiences and even more value to Microsoft 365 Customers by leveraging one of the largest internal Data Platforms at Microsoft and collaborating with MSRA (Microsoft Research Asia).
Drive the AI/ML work across the org
Work closely with components teams and data scientists to continually evaluate and deliver models in support of product features and customer scenarios
Work closely with component teams to develop flighting and experimentation protocols for model deployment
Work closely with data engineers to develop best in class technologies and processes for training, hosting and operationalizing models in existing machine learning platforms
Create architecture and processes for machine learning operations
Work collaboratively with MSRA, US and other teams on AI/ML work
Machine Learning Frameworks: CNTK, TensorFlow, Scikit-Learn, Apache MXNet, Theano
ML Technologies: Model Management, Reinforcement Learning, Deep Learning, Hardware for Training & Inference, Data Anonymization, Privacy Preserving ML
Big Data & AI technologies: Kafka, Apache Spark, Hadoop, Hive, Presto, HDFS, HDInsights, Azure ML, DataBricksLanguages: Python, R, SQL, Java, C#
Experience architecting and developing features that rely on AI/ML
Experience working in/with large Product engineering teams that ship to hundreds of millions of customers
Experience working as part of a large Data operation that produce tens of thousands of data assets from PBs of daily data
Experience with enforcing and operating under strict privacy and compliance standards - GDPR, ISO etc.
Experience in developing full stack cloud applications is a big plus
Experience with training and operationalizing models without direct access to the data is a big plus
Address challenges in products through Deep Learning and Reinforcement Learning approaches and publish papers
Track state-of-the-arts techniques, and keep lead positions in public competitions of various NLP tasks, including IR, QA, MRC, and Dialogues, etc.
Explore fundamental challenges for NLP and make breakthrough
Ph.D. (or Master) in Computer Science, Statistics or related areas
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.