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Applied Scientist

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Microsoft Corporation

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Location:
India , Bangalore

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

Microsoft is looking for an Applied Scientist to join the Business & Industry Copilots group, responsible for the Microsoft Dynamics 365 suite, Power Apps, Power Automate, Dataverse, AI Builder, and Microsoft Industry Solutions. This role involves shaping the future of the autonomous enterprise and leading the development of intelligent, agent-first experiences that transform how businesses operate. The Senior Applied Scientist will drive innovation at the intersection of AI, experimentation, and enterprise systems, designing and evaluating autonomous agents that deliver measurable improvements in accuracy, latency, and cost-efficiency.

Job Responsibility:

  • Deliver impactful solutions by executing high‑leverage data science and analytics initiatives within a product area or feature team
  • Lead the design and implementation of advanced model fine‑tuning pipelines, including Reinforcement Learning from Human Feedback (RLHF)
  • Own complex, end‑to‑end projects that combine technical depth with cross‑functional collaboration
  • Foster alignment and trust across partner teams through clear, actionable communication and collaborative problem‑solving
  • Develop and maintain robust measurement systems, experimentation frameworks, and causal inference methodologies
  • Mentor and support peers by sharing best practices, reviewing designs, and contributing to a collaborative, high‑performance team culture
  • Leverage AI to streamline workflows and enhance team productivity through intelligent automation and innovation

Requirements:

  • Prior expertise in natural language processing (NLP)
  • Strong foundation in large language model (LLM) development, evaluation, and fine-tuning
  • Hands-on experience in applying advanced fine-tuning techniques—including instruction tuning, reinforcement learning from human feedback (RLHF), and tool-augmented generation
  • Familiarity with prompt/context engineering, context-aware orchestration, and integrating LLMs with external tools and APIs
  • Comfortable working in a fast-paced, experimentation-driven environment, leveraging both offline and online evaluation methods
  • Deep understanding of the challenges and opportunities in building AI-native enterprise applications

Additional Information:

Job Posted:
February 05, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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