Strong hold on on SDLC, Python Scripting and AI packages
Strong conceptual knowledge of GenAI techniques viz. Prompt engineering (Template, Curation, modification), various foundation models wrt text, image, video and other data
Exp on DNN module training & Integration, CNN, Transformer/RNN,
GenAI knowledge wrt LLM, Multimodal Models (Stable diffusion/Autoregression/Diffusion Transformer) for usage of World Foundation model and peripheral development
Finetuning (Transfer learning) techniques for Multimodal Foundation models
Multi-modal Data pipeline (Cleaning, augmentation, embedding creation)
Data pruning/Curation and labelling w.r.t AI training and validation
Knowhow of AD domain (domain stack components, Features, Sensor configuration, Format and types of Annotations required for various components in stack for development/testing, Validation)
