Artificial Intelligence (AI) Internship

Selected intern's day-to-day responsibilities include:

Collaborate with the AI research team to design and develop AI models tailored to address specific challenges in the food industry.
Conduct research and experiments to explore novel approaches in LLM and Deep Learning for solving real-world problems related to food production, distribution, and consumption.
Collect, preprocess, and analyze large datasets to train and evaluate AI models, ensuring accuracy, reliability, and scalability.
Implement algorithms and techniques for natural language processing, logic reasoning, and mathematical modeling to extract valuable insights from diverse sources of data.
Develop APIs for seamless integration of AI models with existing systems and third-party tools, ensuring compatibility, efficiency, and reliability.
Integrate AI solutions with third-party tools and platforms to enhance functionality and performance, leveraging APIs and SDKs for seamless data exchange and collaboration.
Perform quality assurance (QA) testing to validate the functionality, performance, and reliability of AI models, APIs, and integrated systems.
Utilize Python stack and Conda-like technologies for development, ensuring consistency, reproducibility, and scalability of AI solutions.
Collaborate with cross-functional teams to identify requirements, define specifications, and prioritize features for API development and integration.
Stay updated on the latest advancements in AI, LLM, and Deep Learning research, as well as emerging tools and technologies for API creation and integration.

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