Senior AI Engineer

Experience in Machine Learning (ML), with deep expertise in writing, and reviewing production code in Python.
o Knowledge of ML frameworks and libraries (such as TensorFlow/Pytorch), and exposure to various ML algorithms and their practical implementation in production at large scale.
o Experience with designing and deploying scalable end-to-end Machine Learning/NLP systems as Databricks jobs/ dockerized containers
o Experience on distributed, high throughput and low latency architecture.
o Experience with NLP techniques around text cleaning/pre-processing, entity extraction, encoder-decoder architectures, similarity matching etc.
o Experience with Prompt Engineering techniques
o Understanding of LLM functionality and inference techniques
o Experience building software on top of containerization technology (Kubernetes, Docker etc.), and familiarity with frameworks/tools such as FastAPI, Uvicorn.
o Familiarity with Continuous Integration tools such as Jenkins.
o Experience with architecting and consuming APIs in a scalable (multi-threaded/batched) fashion.