AI Applied Scientist

Microsoft; Bengaluru; On-site; INR 1,200,000 - 2,200,000; Full time

Job summary

A leading technology company in Bengaluru is seeking a Principal AI Applied Scientist to advance AI technologies in products. The ideal candidate will have strong expertise in generative AI, machine learning, and collaborative research, with a commitment to ethical practices. This full-time position offers the chance to work across teams to innovate and impact various industries, from finance to healthcare.

Qualifications

• 4+ years of experience in AI/ML or related fields.
• 1+ years of experience with generative AI.
• Experience publishing or filing patents.

Responsibilities

• Develop and integrate AI solutions for Microsoft products.
• Collaborate with teams to address complex industry problems.
• Ensure ethical and responsible AI practices.

Skills

Generative AI

NLP

Deep Learning

Machine Learning

Education

Bachelor’s degree in relevant field

Master’s degree

PhD

Tools

MLOps workflows

LangChain

PromptFlow

Job description

Overview

We are seeking a principal AI applied scientist to join the Industry Agents team. 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 combines AI knowledge with applied science expertise, demonstrating a growth mindset and customer empathy. You will collaborate across product, research, and engineering teams to bring innovative industry solutions to life and address complex problems across industries such as financial services, government, manufacturing, and retail.

Responsibilities

• Bring State of the Art to products by building collaborative relationships with product and business groups to deliver AI-driven impact.
• Research and implement state-of-the-art models in transformer-based NLP, prompt engineering, and RAG techniques.
• Fine-tune foundation models using domain-specific datasets. Evaluate model behavior on relevance, bias, hallucination, and response quality.
• Contribute to papers, patents, and conference presentations. Translate research into production-ready solutions and measure impact through A/B testing and telemetry addressing customer needs.
• Utilize data to identify gaps in AI quality, uncover insights, and implement PoCs to demonstrate concepts.

Leveraging Research in Real-World Problems

• Demonstrate deep expertise in AI subfields (e.g., deep learning, Generative AI, NLP, multimodal models) to translate cutting-edge research into practical, real-world solutions that drive product innovation and business impact.
• Share insights on industry trends and applied technologies with engineering and product teams.
• Formulate strategic plans that integrate state-of-the-art research to meet business goals.

Documentation

• Maintain clear documentation of experiments, results, and methodologies.
• Share findings through internal forums, newsletters, and demos to promote innovation and knowledge sharing.

Ethics, Privacy and Security

• Apply a deep understanding of fairness and bias in AI by proactively identifying and mitigating ethical and security risks, including 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 across the AI development cycle.

Specialty Responsibilities

• Design, develop, and integrate generative AI solutions using large and small language models.
• Have a deep understanding of LLM architectures and optimization techniques to adapt out-of-the-box solutions to 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 using modern frameworks, state-of-the-art models, open-source libraries, and rigorous metrics.
• Address scalability and performance issues with large-scale computing frameworks.
• Monitor model behavior and adapt to changes in data streams.

Qualifications

Required Qualifications

• 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 with 3+ years of experience
• OR PhD with 1+ year of experience
• OR equivalent experience
• 1+ years of experience with generative AI or LLM/ML algorithms

Other Requirements

• Ability to meet Microsoft, customer and/or government security screening requirements for this role, including specialized security screenings as applicable.
• Microsoft Cloud Background Check: required upon hire/transfer and every two years thereafter.

Preferred Qualifications

• 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 research experience in academic or industry settings.
• 1+ year of experience developing and deploying live production systems.
• 1+ year of experience working with Generative AI models and ML stacks.
• Experience across the product lifecycle from ideation to shipping.

Required For All Job Posting

• #BICJobs #IndustryAgents

Microsoft is an equal opportunity 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.

Seniority level: Not Applicable

Employment type: Full-time

Job function: Engineering and Information Technology

Industries: Software Development