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AI Research Intern (NLP/LLM Focus)
AI Research Intern (NLP/LLM Focus)
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AI Research Intern (NLP/LLM Focus)

Saksham Bhutani's profile picture
Posted by Saksham Bhutani
0 - 2 yrs
₹1.2 - ₹1.8 / mo
Hyderabad
Skills
skill iconPython
skill iconDjango
skill iconFlask

Role Overview:

The AI Research Intern will focus on natural language processing (NLP) and working with large language models (LLMs). They will assist in refining and testing the retrieval-augmented generation (RAG) system for CopilotGTM.


Key Responsibilities:

  • Assist in developing and refining NLP models to answer customer queries.
  • Research and implement improvements to minimize hallucinations in the LLM.
  • Test RAG model configurations and provide feedback to improve accuracy.
  • Work with the engineering team to improve real-time product recommendations and responses.
  • Analyze datasets and fine-tune models for specific use cases (e.g., sales, compliance).


Skills Required:

  • Strong understanding of NLP and familiarity with LLMs (GPT, BERT, etc.).
  • Basic coding experience in Python.
  • Knowledge of data handling, data processing, and model training.
  • Problem-solving ability and eagerness to experiment with new techniques.


Preferred:

  • Experience with libraries like Hugging Face, PyTorch, or TensorFlow.
  • Familiarity with retrieval-augmented generation (RAG) systems.


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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Copilot GTM

Founded :
2024
Type :
Product
Size :
0-20
Stage :
Bootstrapped

About

Copilot GTM helps sales & pre-sales teams easily find information, autofill responses, collaborate, and automate workflows.

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Tech stack

skill iconReact.js
skill iconPython

Candid answers by the company

What does the company do?
What is the location preference of jobs?

Copilot GTM helps sales & pre-sales teams easily find information, autofill responses, collaborate, and automate workflows.

Connect with the team

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Saksham Bhutani
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Lohit Kapoor

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