About the job
As a member of our Research team, you will be responsible for researching, developing, and coding Agents using state-of-the-art LLM's with automated pipelines. Write code for the development of our ML engines and micro-services pipelines. use, optimize, train, and evaluate state-of-the-art GPT models. research and Develop Agentic pipelines using LLM's. research and develop RAG based pipeline using vector DB's. Essential Requirements: prompt engineering and Agentic LLm frameworks like langchain/llama index good enough understanding of vectors/tensors and RAG pipelines Knowledge of building NLP systems using transfer learning or building custom NLP systems from scratch using Tensor Flow or Py Torch. In-depth knowledge of DSA, async, python, and containers. Knowledge of transformers and NLP techniques is essential, and deployment experience is a significant advantage. We are offering 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.
Requirements
- NLP
- Python
- Machine Learning
Preferred Technologies
- NLP
- Python
- Machine Learning
About the company
Kavida.ai believes the only way to ensure security is through supply chain resiliency. We are on a mission to help companies proactively manage disruption supply chain disruption risks using integrated data. Our Story: In March 2020 over 35 academics, data scientists, students, and software engineering volunteers came together to address the food shortage issues caused by the pandemic - Covid19foodsupply.com. A core team of 9 was formed and spun off into a startup and the rest is history.
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