Python / Chatbots / Conversational Agents
3 days ago
Job Description Teamware Solutions is seeking a skilled Python Developer with expertise in Chatbots and Conversational Agents. This role is crucial for designing, developing, and implementing intelligent conversational AI solutions. You'll work with relevant technologies to ensure smooth operations and contribute significantly to business objectives through expert analysis, development, implementation, and troubleshooting within the Python, Digital: Chatbots / Conversational Agents domain. Roles and Responsibilities: - Conversational AI Development: Design, develop, and implement conversational flows, intents, entities, and responses for chatbots and virtual assistants using Python and relevant frameworks (e.g., Rasa, Google Dialogflow, Microsoft Bot Framework). - Python Development: Write robust, scalable, and efficient Python code for backend logic, integrations, and natural language processing (NLP) components of conversational agents. - NLP & NLU Integration: Integrate and fine-tune Natural Language Understanding (NLU) and Natural Language Processing (NLP) models to improve the chatbot's ability to understand user input and generate appropriate responses. - System Integration: Integrate chatbots with various enterprise systems, databases, APIs, and communication channels (e.g., web chat, messaging apps, voice channels) to enable seamless data exchange and functionality. - Analysis & Design: Analyze user conversations and business requirements to identify opportunities for automation and to enhance conversational experiences. Design dialogue flows and interaction models. - Testing & Optimization: Conduct rigorous testing of conversational agents, including unit, integration, and user acceptance testing. Monitor performance, analyze conversation logs, and continuously optimize chatbot responses and accuracy. - Troubleshooting: Perform in-depth troubleshooting, debugging, and issue resolution for chatbot functionalities, integration points, and underlying Python code. - Data Management: Manage and structure conversational data for training, analysis, and model improvement. - Collaboration: Work closely with product managers, UI/UX designers, data scientists, and other development teams to deliver effective and user-friendly conversational AI solutions. Preferred Candidate Profile: - Python Proficiency: Strong programming skills in Python, including experience with relevant libraries for web development, data processing, or AI. - Chatbot/Conversational AI: Hands-on experience in developing, deploying, and managing chatbots or conversational agents. - Conversational AI Frameworks: Familiarity with popular conversational AI frameworks and platforms (e.g., Rasa, Google Dialogflow, Microsoft Bot Framework, IBM Watson Assistant). - Natural Language Processing (NLP): Basic understanding of NLP/NLU concepts and experience with NLP libraries (e.g., NLTK, spaCy) or services. - API & Integration: Experience with developing and consuming RESTful APIs for integrating conversational agents with backend systems. - Database Skills (Plus): Familiarity with databases (SQL/NoSQL) for storing and retrieving conversational data. - Problem-Solving: Excellent analytical and problem-solving skills with a creative approach to designing interactive conversational experiences. - Communication: Strong verbal and written communication skills to articulate technical concepts and collaborate effectively with diverse teams. - Education: Bachelor's degree in Computer Science, Artificial Intelligence, Linguistics, or a related technical field.
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