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 cutting-edge 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
solid 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 (India)
🏢 Microsoft
📍 India