AI/ML Engineer & Lead

As an AI/ML Systems Engineer, your role will involve designing, building, and maintaining production-grade AI/ML systems that support conversational AI, agentic workflows, and automation platforms. You will be responsible for owning the end-to-end ML lifecycle, which includes problem formulation, data preparation, model development, evaluation, deployment, and monitoring. Key Responsibilities: - Develop and optimize NLU models, including intent classification, entity extraction, and dialogue orchestration for chat and voice platforms. - Contribute to agentic architectures by working on routing logic, decision frameworks, tool calling, and multi-agent coordination. - Integrate ML models with cloud-native services (AWS/Azure), APIs, and enterprise platforms to ensure scalability and reliability. Qualifications Required: - Strong background in AI/ML with experience in developing and deploying production-grade systems. - Proficiency in NLU model development for chat and voice platforms. - Experience in integrating ML models with cloud-native services and enterprise platforms. If you have any additional details about the company in the job description, please provide them for a more comprehensive understanding. As an AI/ML Systems Engineer, your role will involve designing, building, and maintaining production-grade AI/ML systems that support conversational AI, agentic workflows, and automation platforms. You will be responsible for owning the end-to-end ML lifecycle, which includes problem formulation, data preparation, model development, evaluation, deployment, and monitoring. Key Responsibilities: - Develop and optimize NLU models, including intent classification, entity extraction, and dialogue orchestration for chat and voice platforms. - Contribute to agentic architectures by working on routing logic, decision frameworks, tool calling, and multi-agent coordination. - Integrate ML models with cloud-native services (AWS/Azure), APIs, and enterprise platforms to ensure scalability and reliability. Qualifications Required: - Strong background in AI/ML with experience in developing and deploying production-grade systems. - Proficiency in NLU model development for chat and voice platforms. - Experience in integrating ML models with cloud-native services and enterprise platforms. If you have any additional details about the company in the job description, please provide them for a more comprehensive understanding.