Overview

The Product

The rapid growth of the Microsoft Power Platform (Power Apps, Power Automate, Power Virtual Agent, Power BI, Power Pages), is fueled by organizations across the globe investing in leveraging low-code/no-code development models to accelerate their digital transformation ambitions. Power Platform is a strategic recent growth area for Microsoft, but more importantly, it is a disruptor technology that is giving “Fusion Teams” of Low Code and Pro Code makers access to tools and technologies, to create next generation of business productivity software via radically simplified experience and without requiring extensive and costly training. It is transforming careers of ‘citizen developers’, making pro-developers far more productive and helping IT finally innovate at the pace that their businesses expect. To boost Power Platform to scale to millions of 'citizen developers', we are investing in Power Pages - an early emergent-stage product within Power Platform suite currently used by customers to enable collaboration with users both internal and external to their organizations. We are early in our journey to innovate on Power Pages product, innovate and infuse AI into all services and experiences and closely integrate with Data, shaping it to be the #1 enterprise platform for creating and hosting business websites to drive usage to 1 billion users and incremental revenue and value for Power Platform.

The Team

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.





Responsibilities

The team consists of Applied Scientists and Engineers partnering regularly with Product Managers and Designers. Our team works in an agile start-up like environment where we expect each team member to think out of the box to contribute and collaborate towards the mission of the team.

- Conduct applied research to develop innovative AI and machine learning models that address real-world challenges.
- Lead end-to-end lifecycle of machine learning models, from prototyping and implementation to evaluation, deployment, and monitoring.
- Create and adapt novel training and fine-tuning algorithms for language models.
- Bring research projects to successful completion yielding new algorithms, prototypes, theories, tools, methods, analyses, insights, or collections of data which solve one or more open research problems.
- Operate and support 24X7 usage of AI Models by customers.
- Document and share best practices across the organization.
- Embody our culture and values.

Qualifications Required/Minimum Qualifications**:

- 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.

Other Requirements :Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

- Microsoft Cloud Background Check : This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications :

- Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 7+ years related experience (e.g., statistics, predictive analytics, research).
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research).
- OR equivalent experience.
- 4+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
- Experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
- 4+ years experience conducting research as part of a research program (in academic or industry settings).
- 2+ year(s) experience developing and deploying live production systems, as part of a product team.
- 2+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
- Applications of Foundation Models, Domain

📌 Principal Applied Scientist (Bengaluru)
🏢 Microsoft
📍 Bengaluru