Job description
Must-Have** (Ideally should not be more than 3-5) 1. Need Both theoretical and practical idea about basic data science algorithms of Regressing, Clustering, Classification, Natural Language processing, Deep Learning, time series forecasting. Also, must have a clear idea about the applicability of those. 2. Should be very through about the deep learning concepts of CNN, RNN, Transformer models 3. Should be able to create chain of serverless multimodal architecture, consisting of many AI models in the chain 4. Must be strong in python programming, Model training and testing 5. Must know one of the ML –OPS technology either of the following Cloud Offering Azure, AWS or Google Good-to-Have 1. Working knowledge of Azure DevOps 2. Working knowledge of LLM, GAN and other generative models at least in the theoretical level 3. Good to have basic application packaging and API concepts