Conversational AI Engineer

Role Overview: As a Conversational AI Engineer, your primary responsibility will be to develop and support AI-powered voice bots and chatbot solutions for banking clients. You will play a crucial role in the entire lifecycle of these systems, from design and development to deployment and maintenance. Key Responsibilities: - Develop and refine NLP/Gen AI models to enhance bot accuracy and understanding. - Troubleshoot and resolve issues related to AI models. - Monitor AI systems for performance, identify potential problems, and implement necessary corrective actions. - Act as the main point of contact for clients, offering timely and effective technical support for AI-related concerns and inquiries. - Demonstrate strong communication and interpersonal skills. - Showcase the ability to work both independently and collaboratively as part of a team. - Be flexible with work hours to align with project timelines and meet client needs. Qualification Required: - Minimum of 2 years of IT experience, preferably in the banking or financial sector. - Bachelor's degree in computer science, engineering, or a related field. - Solid understanding of AI concepts, encompassing machine learning, natural language processing, and deep learning. - Proficiency in Python programming language and familiarity with database technologies such as MongoDB and NoSQL. - Hands-on experience with AI frameworks like TensorFlow, PyTorch, or Scikit-learn. - Knowledge of cloud platforms such as AWS, Azure, GCP, and data engineering principles. - Strong problem-solving, analytical, and troubleshooting abilities. (Note: No additional details of the company were mentioned in the provided job description) Role Overview: As a Conversational AI Engineer, your primary responsibility will be to develop and support AI-powered voice bots and chatbot solutions for banking clients. You will play a crucial role in the entire lifecycle of these systems, from design and development to deployment and maintenance. Key Responsibilities: - Develop and refine NLP/Gen AI models to enhance bot accuracy and understanding. - Troubleshoot and resolve issues related to AI models. - Monitor AI systems for performance, identify potential problems, and implement necessary corrective actions. - Act as the main point of contact for clients, offering timely and effective technical support for AI-related concerns and inquiries. - Demonstrate strong communication and interpersonal skills. - Showcase the ability to work both independently and collaboratively as part of a team. - Be flexible with work hours to align with project timelines and meet client needs. Qualification Required: - Minimum of 2 years of IT experience, preferably in the banking or financial sector. - Bachelor's degree in computer science, engineering, or a related field. - Solid understanding of AI concepts, encompassing machine learning, natural language processing, and deep learning. - Proficiency in Python programming language and familiarity with database technologies such as MongoDB and NoSQL. - Hands-on experience with AI frameworks like TensorFlow, PyTorch, or Scikit-learn. - Knowledge of cloud platforms such as AWS, Azure, GCP, and data engineering principles. - Strong problem-solving, analytical, and troubleshooting abilities. (Note: No additional details of the company were mentioned in the provided job description)