Senior Machine Learning Engineer

Senior Machine Learning Engineer Location: (Bangalore or Noida) The proliferation of machine log data has the potential to give organizations unprecedented real-time visibility into their infrastructure and operations. With this opportunity comes tremendous technical challenges around ingesting, managing, and understanding high-volume streams of heterogeneous data As a Machine Learning Engineer , you’ll build the intelligence behind the next generation of agentic AI systems that reason over massive, heterogeneous log data. You’ll combine machine learning, prompt engineering, and rigorous evaluation to create autonomous AI agents that help organizations understand and act on their data in real time. You’ll be part of a small, high-impact team shaping how AI agents understand complex machine data. This is an opportunity to work on cutting-edge LLM infrastructure and contribute to defining best practices in context engineering and AI observability. Responsibilities Design, implement, and optimize agentic AI components, including context engineering, memory management, and prompts. Collaborate cross-functionally with product, data, and infrastructure teams to deliver end-to-end AI-powered insights. Operate autonomously in a fast-paced, ambiguous environment - defining scope, setting milestones, and driving outcomes. Ensure reliability, performance, and observability of deployed agents through rigorous testing and continuous improvement. Maintain a strong bias for action —delivering incremental, well-tested improvements that directly enhance customer experience. Required Qualifications B.Tech, M.Tech, or Ph.D. in Computer Science, Data Science, or a related field. 4-6 years