Responsibilities

• 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

Qualifications

Technical Skills

• 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, DataBricks
  Languages: Python, R, SQL, Java, C#

Experience/Qualification

• 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.