Sr. Machine Learning Engineer

Overview

Sr. Machine Learning Engineer for the AI team, building production ML intelligence that turns large-scale signals into cited, explainable answers.

What you'll do

• Own machine learning problems end to end from data exploration through deployment.
• Build NLP, LLM, and agentic systems using retrieval-based architectures and multi-agent workflows.
• Develop ranking, recommendation, prediction, and optimization models that are explainable.
• Partner with Product and Go-to-Market to ship capabilities from ambiguous business problems.
• Improve performance, scalability, and reliability of production ML systems and help shape AI platform architecture.
• Explain work to technical and non-technical audiences and mentor engineers.

What you'll need

• 6+ years of industry experience building and deploying ML systems in production with end-to-end ownership.
• Strong foundation in machine learning and applied statistics, including hands-on depth in NLP and retrieval-based systems.
• Practical experience with modern GenAI tooling such as LangGraph, LangChain, or Amazon Bedrock.
• Strong Python skills and experience building distributed ML pipelines on cloud infrastructure.
• Solid grasp of feature engineering, model evaluation, and MLOps practices.
• Excellent communication to explain complex technical work clearly.

Details

• Location: Bengaluru, Karnataka, India.
• Build-and-ship (not a research role).