Principal Applied Sciences Manager

The Azure Core Fundamentals team, part of C + AI division is reimagining the future of engineering systems. We are a diverse group of data and applied scientists, software engineers collaborating with passion to help transform the development and release processes for Azure.

• Act as a subject matter expert and deliver technical leadership to a forward-thinking Data and Applied Sciences team specializing in Large Language Models, Machine Learning and AI applications.
• Support hiring, coaching, mentoring and career development of Data and Applied Scientists to build an inclusive and ambitious applied science team.
• Identify gaps and determine which tools, technologies, and methods to incorporate to ensure quality and scientific rigor.
• Lead the development and implementation of new or modified tools, technologies, and methods.
• Collaborate with and bridge the gap between researchers and development teams.
• Build and manage AI solutions, experiments, leveraging or fine-tuning the right models to achieve the business objectives.
• Educate team with industry and competitor insights, leads by example, provide recognition as appropriate, and help establish best practices and standards.

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
• OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research).
• OR equivalent experience.
• 3+ years experience in developing and deploying live production systems.
• 3+ years of people management experience.

• Industry leading healthcare
• Educational resources
• Discounts on products and services
• Savings and investments
• Maternity and paternity leave
• Generous time away
• Giving programs
• Opportunities to network and connect

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