AI Research Associate

1 week ago

Bhavnagar, Gujarat, India beBeeDataScience Full time ₹ 15,000 - ₹ 25,000

Join a dynamic research team and play a key role in developing cutting-edge AI technologies.

We are seeking a talented Data Science Intern to help us drive innovation in the field of natural language processing (NLP). As a member of our team, you will have the opportunity to work on exciting projects that involve researching, developing, and implementing state-of-the-art LLM's with automated pipelines.

The successful candidate will be responsible for:

  • Designing and developing ML engines and micro-services pipelines using industry-leading frameworks.
  • Optimizing, training, and evaluating GPT models to improve their performance and accuracy.
  • Researching and developing Agentic pipelines using LLM's to enable seamless human-AI collaboration.
  • Developing RAG based pipelines using vector DB's to enhance the efficiency and effectiveness of our AI systems.

To succeed in this role, you will need to possess a good understanding of prompt engineering, Agentic LLM frameworks like langchain/llama index, vectors/tensors, and RAG pipelines. Additionally, knowledge of building NLP systems using transfer learning or custom NLP systems from scratch using TensorFlow or PyTorch is essential.

This is an excellent opportunity to learn from experienced professionals, collaborate with a talented team, and contribute to cutting-edge research in AI. If you are passionate about AI and NLP, we encourage you to apply for this position.

Our company values meritocracy, autonomy, trust, and responsibility. We believe in empowering our employees to take ownership of their work and strive for excellence in everything they do.

We offer a competitive salary range of ₹15000 - ₹25000 and 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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