LLM, GPT – Generative AI Expert

LLM, GPT – Generative AI Expert 

Work Location: Hybrid/Work from Home
Salary: 25 lacs INR to 50 Lacs INR per annum 
Experience: 4 to 10 Years 
No of positions: 3 
Employment Type: Full-time/ Consulting
Educational qualification: Masters/PhD in CS, AI, ML
Industry: IT-ITES
Notice Period: Immediate

• Skilled in Prompt Engineering to fine-tune model responses and improve AI performance.
• Proficient in working with Large Language Models (LLMs) and Generative AI technologies.
• Proven experience in developing and optimizing language models based on GPT architectures (e.g., GPT-3, GPT-4).

RESPONSIBILITIES:

1. Develop, test, and optimize prompts to guide the responses of GPT-based language models.
2. Conduct experiments to evaluate the effectiveness of different prompt strategies.
3. Implement techniques to enhance model performance and accuracy through prompt engineering.
4. Work with various types of data, including text, image-text, and video data.
5. Apply advanced data preprocessing and augmentation techniques.
6. Utilize deep learning frameworks and libraries to build and optimize models.
7. Develop and deploy applications for text classification, sentiment analysis, named entity recognition, and more.
8. Deploy AI models into production environments and monitor their performance.

QUALIFICATIONS:

1. Good to have master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
2. Experience in LLM- GPT – Text, Image Text & Video Data experience, Prompt Engineering
3. Exposure to machine learning, or deep learning is preferred.
4. Solid understanding of deep learning frameworks and libraries (e.g., TensorFlow, PyTorch).
5. Proficiency in programming languages such as Python and ability to write clean, efficient, and maintainable code.
6. Familiarity with NLP techniques, such as text classification, sentiment analysis, named entity recognition, and part-of-speech tagging.
7. Strong problem-solving skills and the ability to think creatively to address complex challenges.

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