Senior Data Scientist

Experteer Overview As a Senior Data Scientist in GenAI for Finance, you will design and deploy cutting-edge AI solutions that enhance financial data interaction. You will lead RAG-driven enhancements, build LLM-based systems, and push end-to-end GenAI from data prep to deployment. You’ll work with cross-functional teams to integrate AI into existing workflows and stay at the forefront of GenAI innovations. This role offers the opportunity to shape scalable AI solutions in a finance-focused environment and to impact real-world financial data tasks. Compensation / Benefits * Design and implement Generative AI solutions for finance projects * Lead integration of Retrieval Augmented Generation techniques * Develop and refine LLM-based solutions including prompt engineering and finetuning * Utilize table transformers and Python tools for financial data processing * End-to-end GenAI development: data prep, modeling, deployment, monitoring * Collaborate with cross-functional teams for seamless workflow integration * Stay updated on GenAI advancements and contribute to AI initiatives * Communicate findings to technical and non-technical audiences Tasks * Bachelor in Computer Science or related field * Minimum 2 years of experience with Generative AI solutions * Proven experience deploying GenAI solutions in real-world settings * Strong Python skills with TensorFlow, PyTorch, scikit-learn, Pandas, NumPy * Deep understanding of RAG, LLMs, transformer models (e.g., BERT, GPT) * Experience with prompt engineering, finetuning, vector databases, and similarity search * Familiarity with LangChain, LlamaIndex or similar GenAI frameworks * MLOps principles for deploying and managing AI models * Excellent communication, collaboration, and problem-solving skills Key requirements *

lead workflow integration * Stay updated on GenAI advancements and contribute to AI initiatives * Communicate findings to technical and non-technical audiences Tasks * Bachelor in Computer Science or related field * Minimum 2 years of experience with Generative AI solutions * Proven experience deploying GenAI solutions in real-world settings * Strong Python skills with TensorFlow, PyTorch, scikit-learn, Pandas, NumPy * Deep understanding of RAG, LLMs, transformer models (e.g., BERT, GPT) * Experience with prompt engineering, finetuning, vector databases, and similarity search * Familiarity with LangChain, LlamaIndex or similar GenAI frameworks * MLOps principles for deploying and managing AI models * Excellent communication, collaboration, and problem-solving skills Key requirements *