Overview

Responsibilities:
- Responsibilities:
- 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 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 modelresults, 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 a top-tier conferences and represent the team’s technical leadership within and outside Microsoft

Qualifications:
- Qualifications
- 10+ years of experience in machine learning, with a solid 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
- strong background in machine learning, deep learning, and natural language processing
- Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch)
- Experience with transformerbased models (e.g., BERT, GPT, T5, Llama)
- Familiarity with cloud

📌 Principal Applied Scientist (Hyderabad)
🏢 Microsoft
📍 Hyderabad