Description

You will build AI-powered products and services using modern technologies, focusing on Large Language Models (LLM).

Responsibilities

• Collaborate with Product, Data, and Technology teams to design and create AI-powered products and services.
• Apply state-of-the-art LLMs from providers like OpenAI, Anthropic, Meta, and Mistral to financial data challenges.
• Create models and pipelines for Named Entity Recognition and Entity Resolution.
• Assess solution quality and iterate to optimize performance.
• Apply MLOps / LLMOps best practices when deploying new products.

Required Skills

• 5+ years of experience processing structured and unstructured data using NLP.
• 1+ years of experience applying LLMs to solve real-world, industry problems.
• Solid understanding of NLP concepts, including vectorization, entity recognition, and semantic search.
• Required proficiency in Python.
• Experience with MLOps and LLMOps practices.
• Knowledge of GenAI principles.
• Experience with LLMs and NLP frameworks.

Key Skills

Education

Any Graduate