We are the Data & Applied Sciences team for Microsoft Teams, based in Bangalore, India. Our mission is to leverage generative AI, advanced machine learning, deep learning, and data science to drive informed decision-making, improve product performance, and maximize business impact. You will work as part of a team that brings together talent in the areas of machine learning, generative AI, natural language processing, information retrieval, software engineering, data analytics, and ML operations. Responsibilities Building models and featurization pipelines. Measuring and improving model performance with feedback loop and reinforcement learning; working with product teams on appropriate designs of AI-powered experiences. Setting up, running, and analyzing experiments. Prototyping new approaches and developing new algorithms, ML techniques such as modeling using deep learning, advanced ML models, and privacy-preserving algorithms. Working with other scientists, engineers, and UX experts on the detailed design and implementation of end-to-end solutions, including data-pipelines for machine learning, deployments, performance monitoring, and analysis, and continual refinement via feedback loop from real users. Staying abreast of current technology trends and research development in relevant areas inside and outside of the company, including attending academic and industrial conferences. Partnering with Development teams, Microsoft Research, and Product Teams. Qualifications Required/Minimum Qualifications: Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research). OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research). OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research). OR equivalent experience. Preferred Qualifications: Ph.D. in Computer Science, Artificial Intelligence, Statistics, Electrical Engineering, Computer Vision, or related field. Publications in top-tier ML/IR/NLP/CV conferences would be a plus. Awareness and understanding of emerging research and technologies. Experience in large-scale data mining and cloud computing. Analytical, problem-solving, programming, and debugging skills.