Aws Solutions Architect jobs in United Arab Emirates

• Design, develop, and maintain AI-powered chatbots for customer support, sales, and other use cases.
• Utilize NLP and machine learning techniques to enhance chatbot intelligence and improve user interactions.
• Work closely with business stakeholders to understand use cases and deliver tailored conversational solutions.
• Integrate chatbots with various channels such as websites, mobile apps, social media, and messaging platforms (e.g., Facebook Messenger, WhatsApp, Slack).
• Implement and optimize dialogue management and conversational flows to ensure seamless interactions with users.
• Continuously improve chatbot performance by analyzing user interactions, identifying patterns, and fine-tuning the bot's responses.
• Develop and implement machine learning models for intent recognition, entity extraction, and response generation.
• Monitor chatbot performance, troubleshoot issues, and ensure high availability and reliability.
• Collaborate with UX/UI designers to ensure chatbot interfaces are intuitive and user-friendly.
• Stay up to date with the latest advancements in AI, NLP, and chatbot development frameworks.
• Document development processes, technical specifications, and chatbot training processes.
• Train the bot on large datasets and ensure continuous learning to adapt to user behaviors.

Requirements

• Bachelors degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Minimum 4 years of experience in AI/ML development with a strong focus on chatbot development and NLP.
• Proven experience with chatbot development platforms like Google Dialogflow, Microsoft Bot Framework, Rasa, or similar technologies.
• Strong understanding of NLP techniques like intent recognition, named entity recognition, and sentiment analysis.
• Experience with cloud platforms such as AWS, Google Cloud, or Azure, especially related to AI and chatbot deployment.
• Familiarity with chatbot integration into CRM systems, helpdesk platforms, and other third-party tools.
• Knowledge of REST APIs for chatbot integration with external services.
• Excellent problem-solving and analytical skills to optimize chatbot performance and improve conversational models.
• Experience with chatbot analytics tools and understanding user metrics to drive improvement.
• Strong communication skills to collaborate with cross-functional teams and understand user requirements.
• Ability to stay up-to-date with industry trends and apply the latest AI/ML research to chatbot development.