Applied Scientist II Job at Microsoft Corporation (Bangalore)

Applied Scientist II

Microsoft Corporation

Location:
India , Bangalore

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

Save Job

Apply Position

Job Description:

As an AI Applied Scientist 2 for CXA, 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. You will collaborate across product, research and engineering teams to bring innovative solutions to life, applying your expertise in machine learning, data science, and AI to solve complex problems. Your work will directly influence product direction and customer experiences.

Job Responsibility:

Build collaborative relationships with product and business groups to deliver AI-driven impact
Research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques.
Fine-tune foundation models using domain-specific datasets.
Evaluate model behavior on relevance, bias, hallucination, and response quality via offline evaluations, shadow experiments, online experiments, and ROI analysis.
Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, support MLOps/AIOps.
Contribute to papers, patents, and conference presentations.
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.
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.
Maintain clear documentation of experiments, results, and methodologies.
Share findings through internal forums, newsletters, and demos to promote innovation and knowledge sharing
Apply a deep understanding of fairness and bias in AI by proactively identifying and mitigating ethical and security risks—including XPIA (Cross-Prompt Injection Attack) 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 foundation models and more.
Deep understanding of small and large language models architecture, Deep learning, fine tuning techniques, multi-agent architectures, classical ML, 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, guide product monitoring and alerting, and adapt to changes in data streams.

Requirements:

Bachelor’s degree in Computer Science, Statistics, Electrical/Computer Engineering, Physics, Mathematics or related field, OR Master’s degree OR PHD AND 3+ years of experience working with machine learning libraries to solve real world data science problems
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.

Nice to have:

Experience with MLOps Workflows, including CI/CD, monitoring, and retraining pipelines.
Familiarity with modern LLMOps frameworks (e.g., LangChain, PromptFlow)
1+ years of experience publishing in peer-reviewed venues or filing patents
Experience presenting at conferences or industry events
1+ years of experience conducting research in academic or industry settings
Experience in developing and deploying live production systems
Experience in working with Generative AI models and ML stacks
Experience across the product lifecycle from ideation to shipping

Additional Information:

Job Posted:
January 26, 2026

Employment Type:

Fulltime

Work Type:

On-site work

Microsoft Corporation - All Job Offers

Job Link Share: