Walk-in || Ai Ml Data Scientist

Job description

Desired Competencies (Technical/Behavioral Competency) **Must-Have:** • 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 • Strong 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. **Good-to-Have:** • Familiarity with Data Science Life cycle development methodology DevOPs Principles, CI/CD pipelines, version control systems • AI Safety principles, Data Governance principles and AI-related components. • Machine Learning development using cloud platforms. **Responsibility of / Expectations from the Role** 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.