Applied ML Engineer

Job Summary

A company is looking for an Applied ML Engineer (RAG + Ranking).

Key Responsibilities

• Architect and implement production-grade Retrieval-Augmented Generation (RAG) systems
• Develop and optimize re-ranking layers using Cross-Encoders for financial datasets
• Integrate hybrid search methods to enhance document retrieval accuracy

Required Qualifications

• 5+ years of experience in Applied Machine Learning or NLP
• Hands-on expertise with advanced chunking strategies and embedding models
• Experience with hybrid search, re-ranking, and evaluation frameworks
• Proven ability to work in high-compliance environments, preferably in Banking/FinTech
• Familiarity with the Big 4 consulting delivery model and client-facing standards