Cultivating Artificial Intelligence Excellence

3 days ago

Vadodara, Gujarat, India beBeeDevelopment Full time ₹ 15,000 - ₹ 25,000
Internship in Artificial Intelligence Development

NLP interns at a leading technology firm play a vital role in our mission to advance society's capacity to withstand shocks and stresses. We are looking for talented individuals to join our Research team and contribute to the development of state-of-the-art LLMs with automated pipelines.

Our goal is to help companies proactively manage disruption risks using integrated data. As a member of our team, you will be responsible for researching, developing, and coding Agents using state-of-the-art LLMs with automated pipelines.

Key Responsibilities:
  • Write code for the development of ML engines and micro-services pipelines.
  • Use, optimize, train, and evaluate state-of-the-art GPT models.
  • Research and develop Agentic pipelines using LLMs.
  • Research and develop RAG-based pipeline using vector DBs.
Essential Requirements:
  • Prompt engineering and Agentic LLM frameworks like langchain/llama index.
  • Good understanding of vectors/tensors and RAG pipelines.
  • Knowledge of building NLP systems using transfer learning or building custom NLP systems from scratch using TensorFlow or PyTorch.
  • In-depth knowledge of DSA, async, Python, and containers.
  • Knowledge of transformers and NLP techniques is essential, and deployment experience is a significant advantage.
What You'll Gain:
  • A comprehensive understanding of NLP and AI concepts.
  • Hands-on experience with cutting-edge technologies like GPT models and LLMs.
  • Opportunities to work on real-world projects and contribute to the growth of our organization.
  • Collaboration with experienced professionals and access to mentorship programs.

We offer a full-time internship position to final-year students. The internship will last for an initial period of 6-12 months before converting to a full-time job, depending on suitability for both parties. If the applicant is a student who needs to return to university, they can continue with the program on a part-time basis.

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