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 If you're passionate about AI, love tackling complex challenges, and want to contribute to the next generation of language models, we'd love to hear from you! Apply now and let's build the future together.

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 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.

Qualifications - 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.

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Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work. 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.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.