Internship - Linked Entity Detection from Customer Documen
il y a 3 jours
Founded in 2004, Axe Finance provides end-to-end powerful loan origination software helping financial institutions to more effectively manage the credit life cycle, optimize firm-wide credit and risk processes, and enable better-informed credit origination and risk management decisions.
With more than 30,000 users in 20 countries, Axe Finance is focused on credit process automation for all segments (retail, corporate, microfinance, institutional, Islamic, etc.) delivering tailor-made solutions with real measurable value.
Joining Axe Finance is joining a fast-growing fintech company. We are currently seeking to hire (a) PFE intern(s)
Key Responsibilities:
Build a GenAI-powered pipeline to parse and understand customer documents
Detect key entities (e.g., borrower, guarantor, company, director, project, etc.)
Infer relationship types (ownership, partnership, control, etc.)
Output a structured knowledge representation (knowledge graph)
Integrate results into the credit origination workflow for enhanced automation
Candidate Profile Requirements
Strong Python skills and experience with NLP/LLM frameworks
Knowledge of document parsing techniques (OCR, layout analysis)
Analytical mindset
AI student
What We Offer:
Fast-learning environment with opportunities for growth and evolution
Clear ownership from day one with space to test, fail, and improve fast
A culture that values sharp thinking, innovation, and autonomy
Regular collaborations, tie-ups, and activities that expand perspective and skills
Flexible work setup focused on results
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