We are looking for an AI/ML Engineer (Intern) to work on our core products -  the Digital Property Search Report and the Legal Due Diligence Report

The role focuses on building scalable search and document intelligence systems. Responsibilities include cleaning, normalising, and structuring large volumes of heterogeneous data to enable search and analytics at scale, and designing end-to-end search and ranking pipelines that surface relevant information with high accuracy. The role also involves developing and deploying models for document intelligence tasks such as signature detection, entity extraction, and other applied AI/ML systems. Strong fundamentals, curiosity, and the ability to learn quickly matter more than prior domain or production experience.

Key Responsibilities:

• Develop NLP/ML models for entity resolution, text normalization, and document understanding.

• Develop and optimize document extraction systems using OCR and transformer-based NLP models

• Design and optimize search systems using hybrid multi-step retrieval and reranking methods.

• Continuously evaluate and improve model accuracy, efficiency, and reliability.

Required Skills & Experience:

• Exposure to developing and training AI/ML models and Natural Language Processing (NLP)

• Proficiency in Python (data manipulation, web scraping, automation).

• Knowledge of machine learning techniques - regression, clustering, neural nets etc.

• 0 - 1 years of experience

Nice to Have:

• Familiarity with text search using Elasticsearch, Solr, or other search engines.

• Exposure to OCR/vLLMs and document parsing from PDFs or scanned images.

• Working knowledge of text transformers (e.g., BERT) and vector search.

What We Offer:

• Opportunity to develop AI-first products in the legal-tech and prop-tech domains.

• Work on complex data challenges with direct real-world impact.

• Collaborative and innovation-driven work culture.

Apply for the job

Do you want to join our team as our new AI/ML Engineer - Intern? Then we'd love to hear about you!