Senior Machine Learning Engineer - Agentic Workflow

In this role, you will join a team dedicated to developing a cutting-edge platform that leverages agent-based workflows and large language models to streamline operations across various business functions. Working closely with a collaborative group of data scientists and engineers, you will have the opportunity to design robust, production-grade systems that integrate complex algorithms and external data sources. Your contributions will not only advance AI technology but also provide significant insights that drive business success.Key Responsibilities:Design and implement agent-based workflows using orchestration patterns to enhance system robustness and performance.Integrate large language models with external APIs and knowledge graphs to create intelligent systems for business applications.Develop evaluation frameworks to assess the correctness, cost, and latency of various machine learning tasks.Collaborate with a team of data scientists to deploy machine learning models capable of solving complex real-world problems.Requirements:5+ years of experience in designing multi-agent workflows and implementing orchestration strategies in dynamic environments.Proficient in machine learning frameworks and languages such as TensorFlow or PyTorch, with hands-on experience in deploying models into production.Deep understanding of knowledge graphs, context engineering, and their application in real-world business scenarios.Experience in developing evaluation frameworks for monitoring model performance and ensuring reliability.Role Details:Employment Type: Full-timeSchedule: Monday–Friday, 9 AM–5 PMLocation: Houston, Texas 77098This is a unique opportunity to work at the forefront of AI technology within a collaborative team, where you'll contribute to transformative projects and gain hands-on experience in deploying robust machine learning systems. #11599