We are looking for a skilled AI Developer to join our team and contribute to the design, implementation, and deployment of advanced AI and machine learning models. The successful candidate will have a strong background in machine learning, data processing, and software engineering, with the ability to translate business requirements into technical solutions.
Pre-Development Responsibilities:
1. Understand project requirements and define chatbot goals.
2. Research and select suitable AI frameworks and libraries (e.g., TensorFlow, PyTorch).
3. Design chatbot architecture and conversation flow.
4. Plan data collection and preprocessing strategies.
Model Creation Responsibilities:
1. Develop and train machine learning models (e.g., NLP, dialogue management).
2. Implement natural language processing (NLP) techniques.
3. Design and integrate dialogue management systems.
4. Develop intent recognition and entity extraction models.
Model Training Responsibilities:
1. Collect and preprocess training data.
2. Train models using various algorithms (e.g., supervised, reinforcement learning).
3. Fine-tune hyperparameters for optimal performance.
4. Evaluate model performance using metrics (e.g., accuracy, F1 score).
API Integration Responsibilities:
1. Design and implement API endpoints for chatbot integration.
2. Choose API protocols (e.g., REST, GraphQL).
3. Develop API documentation and testing frameworks.
4. Ensure API security and authentication.
Chatbot Deployment Responsibilities:
1. Deploy chatbot model on cloud platforms (e.g., AWS, Google Cloud).
2. Configure scalability and load balancing.
3. Monitor chatbot performance and logs.
4. Implement updates and maintenance.
Testing and Quality Assurance Responsibilities:
1. Develop unit tests and integration tests.
2. Conduct user acceptance testing (UAT).
3. Perform A/B testing and experimentation.
4. Ensure chatbot compliance with regulations (e.g., GDPR).
Collaboration and Communication Responsibilities:
Technical Skills:
1. Programming languages: Python, JavaScript, Java.
2. AI frameworks: TensorFlow, PyTorch, Keras.
3. NLP libraries: NLTK, spaCy.
4. API development: REST, GraphQL.
5. Cloud platforms: AWS, Google Cloud.
6. Database management: MongoDB, PostgreSQL.
7. Operating Systems: Linux, Windows.