Job Description:
• Lead experimentation and model development for AI/ML solutions in legal products
• Design and evaluate NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies)
• Define agentic workflows and reasoning strategies for multi-step legal tasks
• Define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality)
• Analyze large-scale legal datasets to extract insights and improve model performance
• Establish best practices for model evaluation, validation, and benchmarking
• Translate experimental results into clear product recommendations and business impact
• Collaborate with product, legal experts, and engineers to align solutions with user needs
• Mentor team members and provide technical leadership in data science and AI
Requirements:
• Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Data Science, Statistics, Mathematics)
• Demonstrates strong experience in NLP, and LLM-based modeling
• Strong experience with generative AI techniques (e.g., prompt engineering, RAG)
• Experienced in designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases
• Ability to design workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases
• Proficiency in Python and data analysis tools
• Ability to define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality)
• Able to analyze large-scale legal datasets to extract insights and improve model performance
Benefits:
• annual incentive bonus
• country specific benefits