Job Description:

·      Strong foundation in data science concepts and methods.

·      Proficiency in Python for data analysis and developing AI systems.

·      Experience with SQL for querying and managing relational databases.

·      Understanding of Generative AI concepts and practical prompt engineering

techniques (creating and optimizing AI prompts for model performance).

·      Familiarity with Generative AI concepts and techniques (such as Large Language Models and Prompt Engineering).

Key Skills and Qualifications:

·      Exposure to Generative AI and machine learning concepts and their real-world applications.

·      Familiarity with LangChain

·        Help configure and implement generative AI systems, specifically in the context of

large language models (LLMs) and RAG.

·      Basic knowledge of cloud technologies and their role in AI solution deployment.

·      Exposure to GitHub and development practices for cloud-based applications.

Preferred skills:

·      Hands-on Experience: Gain practical experience by working with cutting-edge AI technologies like Generative AI, Computer Vision, and Machine Learning/Deep Learning in Academic projects.