Description

  • Hands-on experience integrating AI/ML models, particularly NLP.
  • Experience integrating AI and NLP models, including familiarity with Retrieval-Augmented Generation (RAG), OpenAI APIs, LangChain, or similar frameworks.
  • Proficiency with relational-based Large Language Models (e.g., GPT, BERT, LLaMA).
  • Familiarity with RAG architectures, vector databases (e.g., Pinecone, We and NoSQL databases (PostgreSQL, MongoDB, etc.) and familiarity with vector databases (aviate, Milvus), and embedding techniques.
  • Experience with RESTful APIs, GraphQL, microservices, and cloud-native architecture (AWS, Azure, GCP) e.g., Pinecone, Chroma, Weaviate) is a plus.
  • Solid understanding- Solid understanding of databases (SQL/NoSQL) and data modeling best practices.· Experience with version control systems (Git), CI/CD pipelines, and containerization (Docker of version control (Git) and CI/CD pipelines

Key Skills
Education

Bachelor's degree

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