Roles Responsibilities-
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
Solid 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.
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.
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).
Develop internal AI platform (like ChatGPT) for automating day to day task like content creation, email draft, etc.
Collaborate with Front End Developers and other software engineer teams in developing AI platform.
Implement, train, and fine-tune LLM and GPT-like models on large-scale data sets to ensure optimal performance and accuracy.
Stay up to date with the latest research advancements and techniques in the field of language modeling, generative modeling, and machine learning.
Deliver the next generation of innovation in trustworthy Industrial Data Insights & Collaboration
📌 Data Scientist Aiml Chennai (India)
🏢 Tata Consultancy Services
📍 India
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