Role overview
You will work on building a prototype AI system that automates the analysis of legislative updates and evaluates their impact on internal regulations. The solution processes legal texts, identifies new obligations, compares them with internal documentation, and generates structured insights to support compliance and legal teams.
This system aims to reduce regulatory risk, highlight gaps, and significantly shorten the time required to assess legal changes.
What you'll work on
- Design and develop AI-driven solutions for analysing complex regulatory content
- Build and orchestrate AI agents capable of reasoning, planning, and autonomous task execution
- Implement retrieval-augmented generation (RAG) pipelines and knowledge grounding
- Integrate AI solutions with enterprise data sources and internal systems
- Deploy and monitor AI solutions in production environments using MLOps/LLMOps practices
- Evaluate LLM and agent performance and ensure reliability and scalability
- Transform AI outputs into structured insights that deliver business value
What we're looking for
- Experience with scikit-learn, pandas, PyTorch, or TensorFlow
- Understanding of deep learning and classical ML techniques
Tags & focus areas
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