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Microsoft Senior Data & Applied Scientist 
India, Karnataka, Bengaluru 
465474389

13.08.2024

The Product

and multi-modal AI rich experiences

Power Pages’towards our shared mission of delivering a highly innovative, AI powered experience that is positioned to fundamentally change what business applications look like in the future.

Senior Data &who can bring deep applied science experience and a proven track record of shipping at-scale AI-enabled intelligent systems to drive vision and innovation for PSenior Data &, you will beexecuting in


Required Qualifications

  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND3+ years related experience (e.g., statistics, predictive analytics, research)
  • Master's Degreein Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND2+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND2+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.

Preferred Qualifications

  • Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND3+ years related experience (e.g., statistics,predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
  • +years experiencewriting production code as well as deploying andmaintainingshipped models over time.
  • 3+years experienceworking on deep learning architectures specifically with Natural language-based models, vector databases and graph databases
  • A publication record in top AI venues will be considered a plus.
Responsibilities

Responsibilities

  • in the area ofLarge Language Models, Natural Language Processing, Machine Learning and Deep Learning.
  • Push the boundaries of AI platforms through innovation and partnership.
  • Develop and deploy conversational and language understanding models at scale.
  • Following and advancing best practices for Responsible AI and Privacy Preserving Machine Learning.
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