Microsoft Senior Machine Learning Engineer 

India, Karnataka, Bengaluru 

657318319

Required Qualification:

• Master's AND 7+ years' experience, or Bachelor's AND 9+ years' experiencein Computer Science, Computer Engineering, or related field with specialization in Generative AI - LLMs/natural language processing /computer vision/multimodal analysis/ deep learning/machine learning/Data Science
• Strong hold on Data Structures, algorithmic problem solving and proficiency in software development/engineering skills(Python/Java/C#)
• Proficiency in Python and open-source tools (e.g., TensorFlow, PyTorch ) to develop production-grade quality product
• Proven Industry experience on large-scale data processing, distributed computing, or cloud platforms and building highly performant production solutions
• Knowledge of Generative AI suite, transformer-based and diffuser-based models(e.g., BERT, GPT, T5, Llama, Stable diffusion) and LLMs
• Proficiency in Agile development practices and Continuous Integration/Continuous Deployment (CI/CD)
• Experience with cloud platforms (e.g., Azure, AWS) and distributed computing
• Design and build end-to-end high performance ML workloads covering model training, data analysis, model serving and model evaluation
• Excellent verbal and written communication skills and ability to work independently and collaboratively

Preferred Qualifications:

• Training & fine-tuning experience on large data
• Experience with statistical analysis and data visualization tools
• Good understanding of statistics, linear algebra, and probability theory

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.

• Build sophisticated Evaluation framework forcutting-edge deep learning models, including LLMs, SLMs, RAG, fine-tuned, distilled modelsand Generative AI applications such as Co-pilots, Agentic frameworks
• Design and develop the next generation of Azure AI's evaluation platform by integrating advanced AI evaluation solutions into production, with a strong emphasis on building a highly performant, scalable, reliable, and high-quality distributed system
• Research, design, implement State-of-the-art evaluation frameworks to assess model performance across diverse metrics, including quality, latency, cost, robustness and fairness
• Engage in sophisticated prompt engineering techniques to optimize and tailor model outputs for various real-world applications and use cases
• Design and build end-to-end pipelines covering model training, data analysis, model serving and model evaluation
  
• Build and Utilize CI/CD pipelines to manage the build, release, deployment, and test automation processes for AI models, ensuring seamless integration into production systems and maintaining high-quality standards
• Collaborate with cross-functional teams, including researchers, data scientists, software engineers, and product managers
• Implement new product features and evaluation metrics
  
• Embody our