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Microsoft is hiring a Principal Applied & Data Science Engineer to join its Customer Service Applications Team. This role is central to developing and integrating cutting-edge AI technologies into Microsoft products and services, advancing the company’s mission to empower every person and organization to achieve more through innovation, inclusivity, and responsible AI.
Location: Hyderabad, Telangana, India
Job Type: Full-Time
Job Number: 1898005
Profession: Research, Applied, & Data Sciences
Apply: Click Here
Conceive, design, and implement state-of-the-art AI and ML techniques, including, but not limited to, foundation models, prompt engineering, retrieval-augmented generation (RAG), and multi-agent architectures.
Fine-tune foundation models with domain-specific datasets. Assess the model's behavior in terms of relevance, bias, hallucinations, and response quality by running experiments and performing an ROI analysis.
Work with cross-functional teams in product, research, and engineering to deliver AI-driven innovations into production environments.
Develop AI prototype solutions, debug the production code, and contribute to MLOps/AIOps workflows, such as CI/CD, monitoring, and retraining.
Publish research findings, file patents, and present at conferences to advance Microsoft's AI leadership.
Apply the principles of Responsible AI throughout the development process for fairness, privacy, and security.
Translate research into scalable business solutions that impact customer experiences and product value directly.
Bachelor’s degree in Computer Science, Statistics, Electrical/Computer Engineering, Physics, Mathematics, or related field AND 10+ years of technical engineering experience (with 6+ in AI/ML, predictive analytics, or research); OR equivalent experience.
3+ years of experience with Generative AI or LLM/ML algorithms.
Ability to meet Microsoft, customer, and/or government security screening requirements, including passing the Microsoft Cloud Background Check upon hire and biennially thereafter.
Experience with MLOps workflow implementation using methods such as continuous integration/continuous delivery (CI/CD), re-training, and monitoring of machine-learning models.
Familiarity with the use of large language model operations (LLM), such as LangChain and PromptFlow.
A record of achievement, including publications, patent awards, or presentations at conferences.
Experience in performing applied research or creating and implementing a successful AI deployment in a live production environment.
Demonstrable knowledge and skills in generative AI technologies and their application to deep-learning and multi-modal systems.
Experience in full product lifecycles, from idea/concept through experimentation to deployment and monitoring.
Microsoft Corporation is an industry leader in technology and artificial intelligence (AI), providing tools and services to help people and organisations from around the world increase their productivity through technology. The organisation is dedicated to creating innovative solutions in cloud computing, data science, and ethical AI through its suite of products, including Azure, Microsoft 365, Dynamics 365, and the Power Platform.
