Senior Engineer-IVA Chatbot

As part of our digital transformation efforts, we are building an advanced Intelligent Virtual Assistant (IVA) to enhance customer interactions, and we are seeking a talented and motivated Machine Learning (ML) / Artificial Intelligence (AI) Engineer to join our dynamic team full time to support this effort.

Responsibilities:

• Design, develop, and implement AI-driven chatbots and IVAs to streamline customer interactions.
• Work on conversational AI platforms to create a seamless customer experience, with a focus on natural language processing (NLP), intent recognition, and sentiment analysis.
• Collaborate with cross-functional teams, including product managers and customer support, to translate business requirements into technical solutions.
• Build, train, and fine-tune machine learning models to enhance IVA capabilities and ensure high accuracy in responses.
• Continuously optimize models based on user feedback and data-driven insights to improve performance.
• Integrate IVA/chat solutions with internal systems such as CRM and backend databases.
• Ensure scalability, robustness, and security of IVA/chat solutions in compliance with industry standards.
• Participate in code reviews, testing, and deployment of AI solutions to ensure high quality and reliability.

Requirements:

• Bachelors or Master s degree in Computer Science, Data Science, AI/ML, or a related field.
• 5+ years of experience in developing IVA/chatbots, conversational AI, or similar AI-driven systems using AWS services.
• Expert in using Amazon Lex, Amazon Polly, AWS lambda, AWS connect.
• AWS Bedrock experience with Sage maker will have added advantage.
• Solid understanding of API integration and experience working with RESTful services.
• Strong problem-solving skills, attention to detail, and ability to work independently and in a team.
• Excellent communication skills, both written and verbal.
• Experience in financial services or fintech projects.
• Knowledge of data security best practices and compliance requirements in the financial sector.
• This role requires significant overlap with CST time zone to ensure real-time collaboration with the team and stakeholders based in the U.S. Flexibility is key, and applicants should be available for meetings and work during U.S. business hours.