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., * 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.

• 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.