Vennote Technologies Limited is a well-established ICT company with experience spanning over two decades in enterprise solutions using best of breed products in very large IT deployments around the world. Vennote Technologies Limited has certified Skilled Technical resources delivering world class implementation and support services through the use of best practices.
- The position requires individuals who are fanatic about customer experience, enjoy challenges, prioritise, meet deadlines, have a collaborative work ethic and teamwork spirit working closely with our teams around the world.
Responsibilities:
- Collaborate with stakeholders to understand customer requirements.
- Collaborate with Conversation Experience team to translate flow definitions to working assistants.
- Create rapid prototypes using RASA
- Design dialog strategies using policies and pipelines in RASA
- Develop and configure chatbots and virtual assistants, including creating intents, entities, dialog policies and actions
- Build and fine-tune natural language understanding (NLU) and natural language processing (NLP) models to improve the accuracy and effectiveness of assistants.
- Integrate assistants with various platforms and systems, such as websites, mobile apps, and third-party APIs.
- Train and test assistants to ensure they understand and respond to user inputs accurately and effectively.
- Continuously optimize assistant performance by analyzing user interactions and making improvements to the AI models.
- Maintain clear and comprehensive documentation of assistant configurations, code, and processes.
- Identify and resolve technical issues and bugs related to chatbot functionality.
- Collaborate with cross-functional teams to ensure the successful deployment and maintenance of assistant solutions.
- Stay up-to-date with the latest developments in conversational AI, GPT, NLP and RASA to incorporate best practices and innovative solutions into projects.
Skills:
- BSc or MSc degree in Computational Linguistics, Data Science or Computer Scient with knowledge of NLP.
- Proven experience in designing and developing conversational AI solutions using RASA.
- Solid understanding of dialog policies, NLU pipelines, actions, and forms
- Strong programming skills in Python.
- Solid understanding of NLP and machine learning concepts.
- Experience on prompt engineering approaches.
- Familiarity with version control systems (e.g., Git) and DevOps practices.
- Excellent problem-solving skills and attention to detail.
- Self-motivation and responsibility ownership
Method of Application
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