Overview

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. 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.
Responsibilities
Build and debug production-grade code in distributed systems
Translate business requirements into AI solutions, collaborating with data scientists, product managers, and engineering teams to ensure alignment and impact
Optimize AI model performance and reliability in production settings, including retraining, evaluation, and continuous monitoring.
Own deployment, quality and operation of AI systems, including automated testing, CI/CD pipelines, deployment, and monitoring with robust MLOps and DevOps practices.
Troubleshoot live site issues as part of both product development and live site support rotations, ensuring rapid resolution and learning.





Qualifications Required Qualifications:
Bachelor's Degree in Computer Science or related technical field AND 1+ years technical engineering experience with coding in Python for building scalable, production-ready systems.
Experience with SQL for querying and managing large datasets; PySpark for distributed data processing and ETL workflows.
Hands-on expertise with Power BI for dashboard creation, data modeling, and visualization of contact center metrics.
1+ years of qualified experience working with generative artificial intelligence, large language models, or agent-based systems.

Other Requirements:
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 Cl

📌 Applied Science Bengaluru
🏢 Microsoft
📍 Bengaluru