Description

You will develop and deploy LLM-based applications and information retrieval systems.

Responsibilities

• Build and maintain LLM chatbot functionality using RAG and information retrieval techniques.
• Implement indexing and ranking processes within vector databases.
• Develop and integrate REST APIs to ensure seamless chatbot functionality.
• Manage model lifecycles using MLOps and LLMOps workflows.
• Apply NLP fundamentals including tokenization and embeddings to solve complex problems.

Required Skills

• 5+ years of recent experience working with Databricks.
• Strong proficiency in Python and its data science libraries, specifically Pandas and NumPy.
• Deep understanding of Natural Language Processing (NLP) fundamentals.
• Hands-on experience with LLM chatbot development and RAG systems.
• Experience with Vector Databases such as Mosaic AI Vector Search, Chroma DB, or Elasticsearch.
• Proficiency in MLOps and LLMOps practices.
• Practical experience integrating REST APIs.
• Working knowledge of embeddings and information retrieval.
• Any Graduate degree.

Key Skills

Education

Any Graduate