01Overview
GenAI Skills
Experience in LLM models like PaLM, GPT4, Mistral (open-source models), Work through the complete lifecycle of Gen AI model development, from training and testing to deployment and performance monitoring.
Developing and maintaining AI pipelines with multimodalities like text, image, audio etc.
Have implemented in real-world Chat bots or conversational agents at scale handling different data sources.
Experience in developing Image generation/translation tools using any of the latent diffusion models like reliable diffusion, Instruct pix2pix.
Expertise in handling large scale structured and unstructured data.
Efficiently handled large-scale generative AI datasets and outputs.
ML/DL Skills
High familiarity in the use of DL theory/practices in NLP applications Comfort level to code in ADK, A2A, AgentSkills, Ontology, Huggingface, LangGraph, LangChain, Chainlit, Tensorflow and/or Pytorch, Scikit-learn, Numpy and Pandas Comfort level to use two/more of open source NLP modules like SpaCy, TorchText, fastai.text, farm-haystack, and others NLP Skills:
Knowledge in fundamental text data processing (like use of regex, token/word analysis, spelling correction/noise reduction in text, segmenting noisy unfamiliar sentences/phrases at right places, deriving insights from clustering, etc.,) Have implemented in real-world BERT/or other transformer fine-tuned models (Seq classification, NER or QA) from data preparation, model creation and inference till deployment .
