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Strong Python skills Expertise in Python for data exploration analysis and development using libraries like Pandas
Matplotlib and Sci kit Learn Experience with Jupyter Notebook for interactive coding
Experience with Google cloud AI technologies is a plus
NLP expertise Deep understanding of natural language processing concepts and experience using Hugging Face pipelines for tasks like text classification generation and entity extraction
LLM experience Hands on experience with LLM frameworks like LLamaIndex or Langchain to build semantic search retrieval augmented generation RAG and hybrid search systems
Prompt Engineering Ability to design and structure prompts for LLMs programmatically using APIs from OpenAI
Vertex AI or Llama Familiarity with common prompt engineering patterns
Vector Database knowledge Experience with any vector databases like PineCone QdrantVespa or Weaviate for efficient similarity search and retrieval
NLP evaluation metrics Familiarity with common metrics used to evaluate the performance of NLP models RAG systems particularly for retrieval and generation tasks
Azure AI Services experience Experience with key Azure AI services such as Azure OpenAI Service Azure AI Search and Azure Document Intelligence for building intelligent solutions
Azure resource management Proficiency in provisioning, configuring and managing Azure AI resources including understanding cost management and security best practices
Azure DevOps Experience integrating Azure AI services into continuous integration and continuous delivery CI CD pipelines for efficient deployment and updates
Containerization Experience with containerized deployments on Azure for scalable and portable AI solutions.
