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.
Responsibilities:
- Design backend architecture: Define the system's components, data flow, and communication protocols of a chatbot architecture.
- Select appropriate frameworks and libraries: Choose the most suitable tools for the project, such as Flask, Django, or FastAPI.
- Implement RESTful APIs: Create well-structured APIs for communication between the chatbot's frontend and backend.
- Integrate NLP libraries: Incorporate libraries like NLTK, spaCy, or Gensim for tasks such as tokenization, stemming, lemmatization, and part-of-speech tagging.
- Develop language models: Train or fine-tune language models (e.g., BERT, GPT-3) to understand and respond to user queries effectively.
- Implement intent recognition and entity extraction: Use NLP techniques to identify the user's intent and extract relevant entities from their queries.
- Design and implement database schema: Create a suitable database structure to store conversation history, user profiles, and other relevant data.
- Optimize database performance: Implement indexing, caching, and query optimization techniques to ensure efficient data retrieval.
- Develop the chatbot's logic: Create rules, decision trees, or state machines to guide the chatbot's responses and conversation flow.
- Implement context management: Maintain conversation context to provide personalized and relevant responses.
- Handle user input variations: Account for different ways users may express the same intent.
Qualifications:
- Bachelor’s degree in computer science, Engineering, or a related field.
- 10 years + Proven experience in backend software development, with a strong focus on building scalable and high-performance systems in python
- Expertise in database technologies (e.g., SQL, NoSQL) and data modeling.
- Solid understanding of API development and integration.
- Experience with cloud platforms (e.g., AWS, GCP, Azure) is preferred.
- Knowledge of NLP and machine learning concepts is a plus.
- Strong problem-solving and analytical skills.
- Excellent communication and teamwork abilities.
Method of Application
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