Enhance explainable semantic matching as an AI Engineer, focusing on retrieval and ranking. Join a team dedicated to producing relevant insights for live RFPs and procurement documents. We seek an AI Engineer with expertise nurturing semantic matching between company capabilities and live requests. This role emphasizes designing retrieval pipelines, building evaluation sets, and experimenting with creative re-ranking strategies. Collaborating closely with engineering, you will maintain production monitoring quality and ensure relevance in all evaluations. Key Responsibilities:
Design and optimize retrieval pipelines for procurement documents
Build regression tests for citation accuracy and latency
Experiment with chunking and metadata filters
Document model changes for reproducibility
Improve match explanations to enhance user experience

Requirements:
2+ years in applied ML or search engineering
Proficient in Python with hands-on experience
Experience with embeddings or hybrid retrieval
Robust ability to present technical concepts
Structured approach to offline metrics evaluation

Be part of an creative team applying AI in real-world procurement settings. #J-18808-Ljbffr

📌 Ai Engineer For Semantic Matching Montreal
🏢 RFPs.ai
📍 Montreal