Artificial Intelligence Engineer

Job Description Role: AI Engineer
About Us:
Cloudaeon is a forward-thinking technology firm specializing in Data, AI C Cloud solutions. We pride ourselves on delivering innovative solutions that empower our clients to leverage data for strategic insights and operational efficiencies.
We are looking for a AI Engineer with 2+ years of experience to join our team as part of a digital transformation initiative for one of our leading global clients. In this role, you will be responsible for designing and developing cutting-edge Intelligent Virtual Assistant (IVA) solutions that enhance and streamline customer interactions. You will apply advanced machine learning and artificial intelligence techniques to build scalable, conversational AI systems, leveraging both cloud-based and on-premise infrastructure.

Key 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-tuned 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.

Required Skills and Qualifications:

• 2+ 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 (any)
• 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 in English, both written and verbal.

Preferred Qualifications:

• Experience in financial services or fintech projects.
• Knowledge of data security best practices and compliance requirements in the financial sector.