Data Science Training

2 weeks ago

India Kavida.ai Full time € 15,000 - € 25,000
NLP Data Science Intern Did you notice a shortage of food at supermarkets during covid? Have you heard about the recent issues in the global shipping industry? These problems are called supply chain disruptions. Supply chain disruptions are threatening our very way of life.

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.

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.

Our investors include one of the world's largest supply chain quality & compliance monitoring companies, a £1.25bn apparel manufacturer, and some very impressive angel investors.

We believe private sector innovation is the only way to address social problems at scale. No more shortages of food, PPE, medicine, etc.

Our Culture :

Drivers Not Passengers:
We think as owners who drive the bus, not as passengers. Everyone is a leader because we know leadership is a trait, not a title. Leaders drive growth and navigate the chaos.

We can connect the dots and answer difficult questions with logic.

Our customers are our heroes and we are obsessed with helping them. understanding their supply chains better, resolving their biggest headaches, and advancing their competitiveness.

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 .

prompt engineering and Agentic LLm frameworks like langchain/llama index
Knowledge of building NLP systems using

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