Overview Overview With the rapid acceleration of AI and the need to deliver trustworthy high-performing models Microsoft s Customer Experience CXP Data Science team is driving innovation at scale Our mission is to advance AI capabilities through rigorous evaluations fine-tuning and large-scale experimentation to create intelligent personalized experiences for customers worldwide The CXP Data Science team is seeking passionate AI practitioners and data scientists to join agile cross-functional teams working on cutting-edge model evaluation frameworks optimization pipelines and experimentation platforms that power Microsoft s AI ecosystem We are looking for a Senior Applied AI Scientist to join our team As a member of the Customer Experience Data Science organization at Microsoft you will help us accelerate the company s own AI transformation You will have the opportunity to partner directly with the engineering and product management groups responsible for managing the Dynamics 365 applications that power Microsoft s sales marketing and support platforms You will apply advanced analytics statistical modeling machine learning and GenAI tools to uncover insights drive action and deliver innovative solutions for complex business challenges This role offers the opportunity to Collaborate across a diverse team of data scientists engineers and product managers Deepen your expertise in the evolving AI and ML landscape Drive meaningful impact for thousands of Microsoft sales marketing and support platform users Microsoft s mission is to empower every person and every organization on the planet to achieve more As employees we come together with a growth mindset innovate to empower others and collaborate to realize our shared goals Each day we build on our values of respect integrity and accountability to create a culture of inclusion where everyone can thrive at work and beyond Responsibilities Responsibilities Work with key stakeholders to understand the underlying business needs and formulate the needs into discrete manageable problems with well-defined measurable objectives and outcomes Transform formulated problems into implementation plans by defining success metrics applying creating the appropriate methods algorithms and tools as well as delivering statistically valid and reliable results Write robust reusable and extensible code to support analysis and modeling Develop new ML and GenAI based models using advanced statistical ML and LLM techniques Lead the evaluation of various GenAI based solutions diagnosing issues and identifying root causes to support potential fine-tuning or reinforcement learning based fixes Use AI-powered tools in your daily work to accelerate coding analysis and other tasks Qualifications Bachelor s degree in data science Mathematics Statistics Computer Science or related field AND 8 years related experience e g managing structured and unstructured data applying statistical techniques and reporting results OR master s degree in data science Mathematics Statistics Computer Science or related field AND 6 year s related experience Expertise in Python PySpark and SQL LLMs Experience in Spark and ability to write maintain understand declarative Spark code and to cleanly write and maintain SQL Knowledge of finer operational aspects of Spark such as setting optimal cluster size executor memory number of executors etc and experience in Azure Synapse Databricks or similar is a bonus Exposure to ML development platforms such as Azure Machine Learning Azure AI Foundry Azure OpenAI Other Requirements 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 Preferred Additional Qualifications Optional at HM discretion Build and deploy end-to-end ML pipelines and GenAI solutions for both batch and real-time use cases ensuring scalability and reliability Apply MLOps and AIOps best practices including model versioning prompt versioning experiment tracking workplace management and understanding of CI CD automation on cloud platforms AWS Azure GCP Manage environment dependencies and containerization Docker Kubernetes for reproducible scalable deployments in any of the cloud platforms AWS Azure GCP etc Exposure to some ETL pipelining frameworks such as Azure Data factory Apache Airflow etc Expertise in designing and implementing Generative AI pipelines e g RAG systems domain task-specific finetuning Experience in managing codebases in Git creating release pipelines on CI CD frameworks like Azure DevOps Jenkins etc along with creating managing Python deployment scripts This position will be open for a minimum of 5 days with applications accepted on an ongoing basis until the position is filled Microsoft is an equal opportunity employer All qualified applicants will receive consideration for employment without regard to age ancestry citizenship color family or medical care leave gender identity or expression genetic information immigration status marital status medical condition national origin physical or mental disability political affiliation protected veteran or military status race ethnicity religion sex including pregnancy sexual orientation or any other characteristic protected by applicable local laws regulations and ordinances If you need assistance with religious accommodations and or a reasonable accommodation due to a disability during the application process read more about requesting accommodations

📌 Senior Applied Scientist (Karnataka)
🏢 Microsoft
📍 Karnataka