Senior Machine Learning Engineer

Driving the evolution of conversational ecosystems, the full-time Senior Machine Learning Engineer will architect and deploy a unified orchestration layer for vendor and internal chatbot interactions while building production-grade Python services and leading complex ML initiatives in a remote-first environment. Key responsibilities Architect and deploy the orchestration layer managing state transitions, context sharing, and intent routing in a distributed conversational environment Build production-grade Python services that connect advanced ML/AI research with customer-facing products Lead end-to-end project execution for complex ML initiatives, managing priorities and cross-functional dependencies from design through delivery Required qualifications 5+ years of professional experience in machine learning and software engineering, with a proven track record of shipping production-grade ML services Hands-on expertise with modern AI architectures, including frameworks such as LangGraph, Google ADK, or AWS Bedrock Deep proficiency in Python with the ability to write clean, maintainable production code Specialized knowledge in at least one domain: NLP, information retrieval, computer vision, or advanced statistical modeling Proven ability to write technical design documents and present ML architectures to cross-functional stakeholders