1 Collaborate with data scientists and engineers to design, develop, and refine LLM and generative AI applications on open-source data, AI-generated text prompts using forefront generative LLMs (e.g., GPT4).
2 Develop internal AI platform (like ChatGPT) for automating day to day task like content creation, email draft, etc.
3 Collaborate with Front End Developers and other software engineer teams in developing AI platform.
4 Implement, train, and fine-tune LLM and GPT-like models on large-scale data sets to ensure optimal performance and accuracy.
5 Stay up to date with the latest research advancements and techniques in the field of language modeling, generative modeling, and machine learning.
6 Deliver the next generation of innovation in trustworthy Industrial Data Insights & Collaboration.
Preferred candidate profile
- Real time industry experience working in Data Science ecosystem, Machine Learning development. • Experience working on development of end-end AI application at an enterprise level, as well as testing and verifying AI applications • Robust experience with Python application development • Expertise in at least one Generative AI and LLM package, preferably Open AI models, otherwise in alternatives • Experience in prompt engineering, Retrieval-Augmented Generation (RAG) & fine-tuning.