Overview Do you want to shape the future of the autonomous enterprise and lead the development of intelligent agent-first experiences that transform how businesses operate The Business and Industry Solutions BIS team is looking for a Senior Applied Scientist to drive innovation at the intersection of AI experimentation and enterprise systems In this role you will design and evaluate autonomous agents that deliver measurable improvements in accuracy latency and cost-efficiency You ll lead rapid experimentation cycles develop robust evaluation frameworks and apply advanced techniques like reinforcement learning to enable multi-step reasoning and decision-making You ll collaborate across engineering product and partner teams to ensure agents are performant secure reliable and extensible empowering customers and partners to build on our platform This is your opportunity to influence the next generation of AI-native business applications and deliver real-world impact at scale The ideal candidate has prior expertise in natural language processing NLP with a robust foundation in large language model LLM development evaluation and fine-tuning They should have hands-on experience in applying advanced fine-tuning techniques including instruction tuning reinforcement learning from human feedback RLHF and tool-augmented generation to build agents capable of multi-step reasoning and decision-making Familiarity with prompt context engineering context-aware orchestration and integrating LLMs with external tools and APIs is essential The candidate should be comfortable working in a fast-paced experimentation-driven environment leveraging both offline and online evaluation methods to iterate rapidly and optimize agent behavior A deep understanding of the challenges and opportunities in building AI-native enterprise applications will be key to success in this role Responsibilities Drive strategic impact by identifying and leading high-leverage data science and analytics initiatives across multiple product domains Lead the development and deployment of advanced model fine-tuning pipelines leveraging Reinforcement Learning from Human Feedback RLHF to align AI system behavior with human intent and improve performance in complex real-world enterprise scenarios Steer strategic direction and investment decisions by owning complex end-to-end projects that blend technical depth with organizational influence Build alignment and trust across leadership and cross-functional teams through clear persuasive communication and collaborative engagement Design and implement robust measurement systems experimentation frameworks and causal inference methodologies tailored to dynamic AI systems and enterprise-scale environments Mentor and elevate the data science community by championing best practices nurturing talent and cultivating a collaborative high-performance culture Harness AI to accelerate workflows and amplify team productivity through intelligent automation and innovation Qualifications Bachelor s degree in Computer Science Electrical or Computer Engineering or related field AND 8 years related experience e g statistics predictive analytics research OR Master s Degree in Statistics Computer Science Electrical or Computer Engineering or related field AND 6 years related experience e g statistics predictive analytics research OR Doctorate in Statistics Mathematics Computer Science Electrical or Computer Engineering or related field AND 5 years related experience e g statistics predictive analytics research 5 years experience developing and deploying AI ML products or systems at multiple points in the product cycle from ideation to shipping Preferred Qualifications Master s Degree in Statistics Computer Science Electrical or Computer Engineering or related field AND 12 years related experience e g statistics predictive analytics research OR Doctorate in Statistics Mathematics Computer Science Electrical or Computer Engineering or related field AND 8 years related experience e g statistics predictive analytics research 5 years experience developing and deploying GenAI products or systems at multiple points in the product cycle from ideation to shipping Experience with modern NLP techniques and language model architectures e g Transformer etc Deep understanding of statistics and statistical theory Experience working with real-world noisy data Demonstratable experience with software engineering principles parallel and distributed computing statistics machine learning cloud technologies like Azure AWS Google Cloud IaaS PaaS and SaaS 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 BICJobs 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

📌 Principal Applied Science Engineer (Karnataka)
🏢 Microsoft
📍 Karnataka