Job Details
Client Evaluation Criteria (High Level) Interview Assessment/Remarks
Hands on Coding 50%.
Strong Data Structures, Any Language Code Comprehension: Python, Pyspark or Java
Ability to do hands-on coding in the interview real-time for given scenarios with the right solution approach.
DS & ML body of knowledge 40%.
AIML, Strong NLP, Deep Learning Concepts, with transformer architecture understanding. LLM fine tuning exposure on one or few leading LLM like Dolly, Llama2 or any other.
Word Embedding and Vector DB usage with the leading vector DB implementation: Pinecone, Milvus or Pgvector.
Behavioral, Positive Mind 10%.
Positive Attitudes, Solution Oriented thinking, Teamwork etc.