Data Scientist

• Experience in Deep learning engineering (mostly on MLOps)
• Strong NLP/LLM experience and processing text using LLM
• Proficient in Pyspark/Data bricks & 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 GPUS.
• Working knowledge of Vector databases like 1) Milvus 2) azure cognitive search 3) quadrant etc
• Experience in transformers and working with hugging face models like llama, Mixtral AI and embedding models etc.

Good to have:

• Knowledge and experience in Kubernetes, docker etc.
• Cloud Experience working with VMS and azure storage.
• Sound data engineering experience.