AI Data Engineer

 

Client is looking a Candidate who can understand how to convert Data Science work to a pipeline [ which requires Minimum ML & LLM knowledge this is must ]  , when it comes to Data Engineering one should be able to work on Prod level pipeline , 

 

AI Data Engineer: Questions from customer.

LLM implementation in real-time project?

How did you use RAG and Lang chain like models in your data engineering project?

How did you optimize the distributed workloads ?

 

Which APIs were used in the LLM/RAG implementation?

How is the CICD pipelines implemented and which SDKs are used ?

Which schema validation rules did you put in place and how did you optimize the pipeline?