Strong understanding and experience working with Transformer Models like BERT, CLIP, GPT, T5 etc
Hands-on experience with at least 2 ML open source frameworks such as Tensorflow, Pytorch
Experience using frameworks like Django, Flask etc to package ML systems as API
Experience conducting accuracy analysis in fine tuning the model Implemented inference pipelines to support online, batch and streaming invocation patterns.
Deep familiarity of various deep learning training techniques - few/zero shot learning, transfer learning, federated learning
Experience in scaling ML model training on GPUs, TPUs
Experience with Big Data technologies using Kafka, Spark, Hadoop, Snowflake