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Principal Applied Scientist

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Microsoft Corporation

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Location:
India , Hyderabad

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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:

Join the team building Azure’s nextgeneration Model Router and shape how the world’s most advanced LLMs are routed, optimized, and deployed at global scale. Be part of a dynamic team shaping the future of AI and language models - Work on high-impact projects with global reach - Collaborate with leading experts in the field - Enjoy a flexible and inclusive work environment

Job Responsibility:

  • Optimize model performance, scalability, and efficiency
  • Conduct experiments to evaluate model performance, robustness, and generalization
  • Implement customization techniques for various NN based architectures
  • Explore novel techniques and approaches to enhance model capabilities
  • Stay up-to-date with the latest advancements in NLP, deep learning, and AI research
  • Work with large-scale datasets, preprocess them, and create appropriate data representations
  • Select relevant features and ensure data quality for training and evaluation
  • Develop and deploy customized LLM solutions for customer scenarios
  • Optimize models using fine-tuning, distillation, and synthetic data generation
  • Mentor and guide team members to foster innovation and technical excellence
  • Build novel data generation solutions to synthesize complex speech scenarios and finetune models
  • Build data analysis metrics and solutions to understand the model results, identify gaps, and guide solutions
  • Collaborate with the global Microsoft team, drive innovative solutions for significant customer asks, and deliver sustained large impacts
  • Mentor and influence peers, sharing expertise and fostering a growth-oriented inclusive team culture
  • Contribute to patents and publications at top-tier conferences and represent the team’s technical leadership within and outside Microsoft.

Requirements:

  • 10+ years of experience in machine learning, with a strong focus on GenAI and LLMs
  • Depth in Data Science, Generative AI and Engineering
  • Ph.D. or Master’s in CS, AI, or a related field
  • Hands-on experience with LLM fine-tuning, model compression, and synthetic data generation preferred
  • A strong background in machine learning, deep learning, and natural language processing
  • Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch)
  • Experience with transformer-based models (e.g., BERT, GPT, T5, Llama)
  • Familiarity with cloud platforms (e.g., Azure, AWS) and distributed computing
  • Solid understanding of statistics, linear algebra, and probability theory is preferred
  • Excellent problem-solving skills and the ability to work independently and collaboratively
  • Proven ability to build, optimize, and scale AI models in production.

Additional Information:

Job Posted:
February 19, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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