Virtusa
Data Scientist / GenAI
Job Description
Position: Data Scientist/GEN AI(GPT) Engineer
Experience : 2 to 6 years
Location : Chennai/Remote
JD :
We are looking for a talented and innovative ChatGPT Developer to join our team. As a ChatGPT Developer, you will play a key role in designing, implementing, and enhancing conversational agents based on the state-of-the-art GPT models.
Responsibilities:
Model Implementation:
1. Implement and customize ChatGPT models for various applications and industries.
2. Fine-tune and optimize models for improved performance and responsiveness.
Data Integration:
3. Work with large datasets to train and refine ChatGPT models.
4. Integrate external data sources to enhance the model's knowledge and contextual understanding.
Performance Monitoring and Optimization:
5. Monitor and analyse the performance of ChatGPT in real-world scenarios.
6. Implement optimizations to enhance model efficiency, speed, and accuracy.
Security and Privacy:
7. Implement security measures to ensure the safety and privacy of user interactions.
8. Stay updated on industry best practices and implement measures to mitigate potential risks.
Collaboration:
9. Collaborate with cross-functional teams, including software engineers, UX/UI designers, and product managers, to integrate ChatGPT into various products and services.
Documentation:
10. Create comprehensive documentation for ChatGPT models, algorithms, and integration processes.
Continuous Learning:
11. Stay informed about 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. Computer Science, Artificial Intelligence, or a related field.
2. Expecting knowledge on GPT3.5 and + versions, Bard and GEMINI is an added advantage.
3. Proven experience in developing and deploying conversational agents or chatbots.
4. Proficiency in programming languages such as Python and experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
5. Strong understanding of natural language processing (NLP) concepts and techniques.
6. Excellent 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.
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