Senior Applied Scientist at Microsoft

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

19 Feb, 26

Salary

0.0

Posted On

21 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Analytics, Reinforcement Learning, Human Feedback, MLOps, CI/CD, Monitoring, Retraining Pipelines, LLMOps, Generative AI, Machine Learning, Causal Inference, Experimentation Frameworks, Research, Production Systems, Collaboration

Industry

Software Development

Description

Deliver impactful solutions by executing high‑leverage data science and analytics initiatives within a product area or feature team, ensuring measurable improvements to user and business outcomes. Lead the design and implementation of advanced model fine‑tuning pipelines, including Reinforcement Learning from Human Feedback (RLHF), to align AI system behavior with user intent and improve performance in real‑world scenarios. Own complex, end‑to‑end projects that combine technical depth with cross‑functional collaboration, influencing feature direction and prioritization rather than broad organizational investment decisions. Foster alignment and trust across partner teams through clear, actionable communication and collaborative problem‑solving. Develop and maintain robust measurement systems, experimentation frameworks, and causal inference methodologies tailored to dynamic AI systems and enterprise‑scale environments. Mentor and support peers by sharing best practices, reviewing designs, and contributing to a collaborative, high‑performance team culture. Leverage AI to streamline workflows and enhance team productivity through intelligent automation and innovation. Bachelor's Degree in 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 Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Computer Science, Electrical or Computer Engineering, or related field AND 1+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. 1+ years of experience with generative AI OR LLM/ML algorithms Experience with MLOps Workflows, including CI/CD, monitoring, and retraining pipelines Familiarity with modern LLMOps frameworks (e.g., LangChain, PromptFlow) 3+ years of experience publishing in peer-reviewed venues or filing patents . Experience presenting at conferences or industry events 3+ years of experience conducting research in academic or industry settings 1+ year of experience developing and deploying live production systems 1+ years of experience working with Generative AI models and ML stacks Experience across the product lifecycle from ideation to shipping

Responsibilities

Deliver impactful solutions through data science and analytics initiatives, ensuring measurable improvements to user and business outcomes. Lead the design and implementation of advanced model fine-tuning pipelines and own complex, end-to-end projects that require cross-functional collaboration.