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GenAI Data Scientist
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- Will work on multiple use cases related to natural language processing and image as well as video processing, using Large Language Models (including Lang Chain).
- Applying Generative AI - Transformer Model and Generative Adversarial Networks (GANs) for natural language processing, image and video processing.
- a) Transformer Models - Use transformer models as well as Lang Chain to perform Natural Language Processing including Sentiments Analysis, named entity recognition, machine translations, topics and themes Analysis, text and documents classifications, spam filtering, document classifications, documents generations, question-answering (e.g. SQuAD), zero-shot classification, speech recognition etc.
- Lang Chain - Few shots prompting, Chain of Thought, ReAct prompting, Chat Models, Prompts, PromptTemplates, Output Parsers, Chains: Sequential Chain, LLM Chain, Retrieval QA chain, Agents, Custom Agents, Python Agents, CSV Agents, Agent Routers, Open AI Functions, Tools, Toolkits, Memory, Vector stores (Pinecone, FAISS), Document Loaders, Text Splitters, Stream lit (for UI).
- Applying and fine tuning Machine Learning (Supervised, Unsupervised, Semi Supervised, Reinforcement Learning), Deep Learning (Deep Sequential and Functional feedforward Neural Networks, Recurrent Neural Networks, Convolution Neural Networks), Transformer Models and Generative Adversarial Networks.
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