Requirements

Expected technologies

Kubernetes

Docker

Python

Optional technologies

Go

Java

C++

Operating system

Windows

Linux

Our requirements

• Minimum 4 years of experience on a similar position
• Strong statistical and quantitative analysis skills
• Strong Machine Learning and Deep Learning skills (RNNs, LSTMs, Transformers) & skills in data cleaning, normalization, and transformation, specifically for textual data
• Strong experience in NLP and fine knowledge of NLP Libraries is a prerequisite, experience in contributing to an Intelligent Document Processing platform
• Model Deployment and Scaling: Experience in deploying NLP models into production environments, and scaling them to handle large volumes of data (Kubernetes, Docker)
• Python Programming Skills
• Ability to communicate clearly on day to day tasks and potential challenges
• Experience working with international and remote teams
• Proactivity and autonomy
• Fluent English

Optional

• Propensity to go beyond strict DS work, but also Dev / AppDev (e.g. Go, Java, C++ …)

Your responsibilities

• Working on a tool allowing to extract information from documents (fund prospectus, invoices, term sheets, loan notices)
• Creating, training & improving information extraction models (new or existing ones)
• Participating to testing new extraction approaches (e.g. Donut vs Layout ML, LLM)
• Contribute to improvement of the platform
• Analyze large amounts of information to discover trends and patterns
• Propose solutions and strategies to business challenges