Responsibilities
- Develop and manage end-to-end machine learning pipelines, adapting global platforms to meet regional needs while maintaining architectural consistency and efficiency.
- Create and deploy recommendation and classification models that deliver real-time insights directly within customer-facing applications.
- Improve system efficiency by identifying and resolving performance issues in model training and inference, focusing on memory, latency, and throughput.
- Lead the creation of modular AI building blocks that support the expansion of generative AI capabilities across the platform.
- Advocate for high engineering standards by implementing best practices in software and data engineering and collaborating with global teams on platform integration.
Work Arrangement
On-site — Bengaluru
Other
This position is located in the Bengaluru office. The company follows an office-first policy and emphasizes in-person teamwork; fully remote roles are not available.
