JD:
Exp:10 to 20 Yrs
Gen AI
Experience in LLMs, Embedding Models, Prompt Engineering
Knowledge of statistical programming languages like Python
Good applied statistical skills
Good knowledge of machine learning algorithms
Proficiency in handling imperfections in data & generating insights and patterns.
Experience with Data Visualization Tools
Fine tuning of LLM
Evaluation Framework (RAGAS, ROUGE, BLUE Scrore)
Autoencoding model (Encoder: ROBERTA/ BERT/ DistilBERT)
Langsmith framework
Autoregressive model (Decoder: GPT/ BLOOM/ LLama/ Mistral/ Claude/ CodeGen/ OPT/ PaLM
RAG/Multimodal Architecture using Langchain/ LlamIndex
MCP Architecture
Experience Agentic AI Framework ( Crew AI, AutoGen, LangGraph, Google AVD etc. )
Experience in Model deployment, LLMOps, Scalability and Performance
Fine tuning of LLM
AI ML exp.
Candidate has exp. in Transformer Architecture (Encoder and decoders)
Knowledge Graph implementation
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