Roles and Responsibility:

• Lead the design and architecture of scalable conversational AI systems, ensuring seamless integration with existing platforms.
• Develop and optimize NLP, NLU, and NLG models to enhance the accuracy and relevance of AI-driven responses.
• Collaborate with cross-functional teams, including software engineers, data scientists, and UX designers, to deliver superior conversational interfaces.
• Evaluate and recommend cutting-edge conversational AI frameworks and tools, staying current with industry advancements.
• Oversee the training, deployment, and continuous improvement of machine learning models within the conversational AI ecosystem.
• Ensure compliance with security standards, data protection regulations, and privacy policies in the development and deployment of AI systems.
• Expertise in Python, Java for developing AI models and integrating conversational systems.
• Hands-on experience with natural language processing frameworks (e.g., SpaCy, NLTK), understanding of dialogue management systems, and the ability to develop custom models for specific applications.
• Extensive experience with TensorFlow, PyTorch, or Keras for building and fine-tuning AI models, including transformer-based architectures like BERT, GPT, or T5.
• Strong working knowledge of platforms such as Rasa, Dialog flow, Microsoft Bot Framework, or IBM Watson Assistant for designing, deploying, and managing chatbots and virtual assistants.
• Experience in setting up data pipelines, managing large datasets, and implementing MLops practices for continuous integration, delivery, and monitoring of machine learning