YOUR PROFILE

• Ideally you are studying at University with focus on IT
• Experience with at least one major deep learning framework.
• Conceptual understanding of machine learning model training, evaluation, and validation
• You are able to work analytically and systematically with a quick-wittedness
• You are willing to work independently
• Furthermore you are self-confident and work with great commitment
• High proficiency level in spoken and written English is required

ABOUT US

360T is a regulated, global marketplace for Foreign Exchange (FX). As Deutsche Börse Group’s powerhouse for FX, 360T provides a broad range of trading solutions and related services to both buy-side and sell-side firms.
Since its inception in 2000, the company has developed and maintained a state-of-the-art multi-bank portal for foreign exchange, cash and money market products. It has recently expanded its instrument offering to include crypto NDFs and commodities (base metals and energy).
With over 2,900 buy-side customers and more than 200 liquidity providers across 75 different countries, 360T is uniquely positioned to connect the global FX industry.
Headquartered in Frankfurt am Main, Germany, 360T maintains subsidiaries in New York (360 Trading Networks Inc), London (360 Trading Networks UK Ltd), Singapore (360T Asia Pacific Pte. Ltd.), Mumbai (ThreeSixty Trading Networks (India) Pvt Ltd), Kuala Lumpur (360 Trading Networks Sdn Bhd) and Dubai (360 Trading Networks (DIFC) Limited)

YOUR ROLE

Are you passionate about software quality and eager to gain hands-on experience in automation testing?
Join 360T’s Quality Assurance team and play a key role in evolving a leading global fintech platform driven by innovation and excellence.
As an Intern / Working Student, you will collaborate with experienced professionals, to implement AI in Quality Assurance and Testing team to help them expand test coverage through automation, and ensure the reliability of our trading platform. This is your chance to apply your technical skills, learn industry best practices, and develop a strong foundation in software testing.

YOUR RESPONSIBILITIES

• Research, develop, and train an AI model to automatically generate software tests (Cucumber) from natural language descriptions).
• Data preparation: Cleaning, formatting, and potentially augmenting the training data
• Model selection and implementation: Exploring appropriate AI/ML models
• Model training and tuning: Optimizing the model’s parameters using the prepared training data.
• Rigorously assessing the model’s performance on a held-out test set of Jira tickets, measuring the correctness and quality of the generated Cucumber tests.