We are operating in a period marked by remarkable innovation. As Microsoft advances its leadership in artificial intelligence, we are looking for talented professionals to address some of the most critical and rewarding challenges in the industry. We are looking for a principal AI applied scientist to join our Industry agents team!You will play a pivotal role in advancing Microsoft's mission to empower every individual and organization on the planet to achieve more. You will contribute to the development and integration of cutting-edge AI technologies into Microsoft products and services, ensuring they are inclusive, ethical, and impactful. This role will combine AI knowledge with applied science expertise, and demonstrate a growth mindset and customer empathy. Join us in shaping the future of AI agents for Industries.

You will collaborate across product, research and engineering teams to bring innovative industry solutions to life, applying your expertise in machine learning, data science, and AI to solve complex problems across industries like financial services, government, manufacturing and retail. Your work will directly influence product direction and customer experiences. 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.

Build collaborative relationships with product and business groups to deliver AI-driven impact

Fine-tune foundation models using domain-specific datasets. - Evaluate model behavior on relevance, bias, hallucination, and response quality.

Translate research into production-ready solutions and measure their impact through A/B testing and telemetry that address customer needs.

Ability to use data to identify gaps in AI quality, uncover insights and implement PoCs to show proof of concepts.

Demonstrate deep expertise in AI subfields (e.g., deep learning, Generative AI, NLP,



muti-modal models) to translate cutting-edge research into practical, real-world solutions that drive product innovation and business impact.

Apply a deep understanding of fairness and bias in AI by proactively identifying and mitigating ethical and security risks—including XPIA, unfairness, bias, and privacy concerns—to ensure equitable and responsible outcomes.

Ensure responsible AI practices throughout the development lifecycle, from data collection to deployment and monitoring.

Contribute to internal ethics and privacy policies and ensure responsible AI practice throughout AI development cycle from data collection to model development, deployment, and monitoring.

Design, develop, and integrate generative AI solutions using large and small language models.

Deep understanding of small and large language models architecture and optimization techniques to adapt out-of-the-box solutions to particular business problems

Prepare and analyze data for machine learning, identifying optimal features and addressing data gaps.

Develop, train, and evaluate machine learning models and algorithms to solve complex business problems, using modern frameworks and state-of-the-art models, open-source libraries, statistical tools, and rigorous metrics

Address scalability and performance issues using large-scale computing frameworks.

Monitor model behavior and adapt to changes in data streams.

Bachelor's degree in Computer Science, Statistics, Electrical/Computer Engineering, Physics,



Mathematics or related field AND 4+ years of experience in AI/ML, predictive analytics, or research

- OR Master's degree AND 3+ years of experience
- OR PhD AND 1+ year of experience
- OR equivalent experience
- 1+ years of experience with generative AI OR LLM/ML algorithms

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Experience with MLOps Workflows, including CI/CD, monitoring, and retraining pipelines.

- 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

Microsoft is an equal prospect employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

📌 AI / ML Specialist (Bengaluru)
🏢 Microsoft
📍 Bengaluru