2+ years of experience in machine learning engineering Hands-on experience with agentic AI frameworks (e.g., LangGraph, LlamaIndex) Experience building RAG pipelines, recommendation systems, and/or vector search applications Strong background in time-series modeling, anomaly detection, and large-scale data analysis Skilled in asynchronous API design, containerization, and modern CI/CD workflows (FastAPI, Docker, Kubernetes) Excellent EDA skills Comfortable working with LLM ambiguity Proactive, independent, and curious Strong communication skills