Gen AI/Data Scientist:
Job Description:
Model Implementation:
1. Deploy and tailor Gen AI models for diverse applications and industries.
2. Fine-tune and enhance models to boost performance and responsiveness.
Data Integration:
3. Utilize extensive datasets to train and refine AI models effectively.
4. Integrate external data sources to augment the model’s knowledge and contextual comprehension.
Performance Monitoring and Optimization:
5. Evaluate model performance in real-world scenarios and implement enhancements.
6. Optimize the model for increased efficiency, speed, and accuracy.
Security and Privacy:
7. Implement security measures to safeguard user interactions and ensure privacy.
8. Stay abreast of industry best practices, implementing measures to mitigate potential risks.
Collaboration:
9. Collaborate with cross-functional teams, including software engineers, UX/UI designers, and product managers, to seamlessly integrate AI Models into diverse products and services.
Documentation:
10. Generate comprehensive documentation covering AI models, algorithms, and integration processes.
Continuous Learning:
11. Stay updated on the latest advancements in natural language processing and chatbot technologies.
12. Experiment with and integrate new features or improvements based on emerging trends.
Preferred Qualifications:
1. Background in Computer Science, Artificial Intelligence, or a related field.
2. Familiarity with GPT3.5 and newer versions, along with knowledge of Bedrock, Bard, and GEMINI, is an added advantage.
3. Demonstrated expertise in developing and deploying conversational agents or chatbots.
4. Proficiency in programming languages, particularly Python, and experience with deep learning frameworks (e.g., TensorFlow, Py Torch).
5. Strong understanding of natural language processing (NLP) concepts and techniques.
6. Exceptional problem-solving and analytical skills.
7. Effective communication and collaboration skills.
8. Experience with large-scale deployment of chatbots in real-world applications.
9. Familiarity with cloud platforms and services for scalable deployment.
10. Contributions to open-source projects related to NLP or chatbot development.
