Data Science Engineer

Experience in Deep learning engineering (mostly on MLOps)

Strong NLP/LLM experience and processing text using LLM (LLM is mandatory and at least 6 months of experience of NLP)

Proficient in Pyspark/Databricks & Python programming.

Building backend applications (data processing etc) using Python and Deep learning frame works.

Deploying models and building APIS (FAST API, FLASK API)

Need to have experience working with GPU'S. (at least knowledge is required)

Working knowledge of Vector databases like 1) Milvus 2) azure cognitive search 3) quadrant etc (experience of any one of vector database will work)

Experience in transformers and working with hugging face models like llama, Mixtral AI and embedding models etc. (experience of any one of model will work)

Knowledge and experience in Kubernetes, docker etc

Cloud Experience working with VM'S and azure storage.

Sound data engineering experience.