GenAI Trainee

Phiture; Porto; Presencial; EUR 25 000 - 35 000; Tempo integral

Resumo da oferta

A leading financial exchange in Porto is seeking a Gen AI trainee to support their AI team in developing AI-powered applications. The ideal candidate will have a degree in computer science, proficiency in Python, and strong communication skills in both English and Portuguese. This role offers the chance to work on innovative projects with a collaborative team, making a meaningful contribution to AI solutions.

Qualificações

• Experience in machine learning, deep learning, and generative AI.
• Understanding of RESTful APIs from a user's perspective.
• Ability to contribute to the design of AI solutions.
• Nice to have: previous experience in AI development.

Responsabilidades

• Contribute to development of Gen AI proof of concepts and enterprise solutions.
• Support unit and integration testing for AI solutions.
• Monitor AI solutions and build dashboards.
• Engage with stakeholders to gather requirements.

Conhecimentos

Python programming

Teamwork

Problem-solving

Communication skills

Familiarity with Git

Fluent in English

Fluent in Portuguese

Formação académica

Bachelor's or master's degree in computer science, engineering or a related field

Ferramentas

Cloud services (Azure or AWS)

Descrição da oferta de emprego

Euronext is the leading pan-European exchange with a unique federal model, in a mission to accelerate innovation and sustainable development across Europe. From raising equity to traded products, issuer services to market data, Euronext addresses the needs of marketplaces, investors and companies, playing a crucial role in connecting European businesses to capital markets, fostering economic growth, and providing listing opportunities for companies of varying sizes. Within the COO scope, the goal of the AI Team is to identify, prioritize and deliver innovative AI solutions, supporting business lines.

Job Description

As Gen AI trainee, you will support the AI team in designing, building, delivering and maintaining AI-powered applications, with particular focus on Generative AI. Such applications are designed to serve several teams and drive business value across different business areas.

You will be part of Euronext's global AI team, working closely with experienced software and AI developers, DevOps, Machine Learning Operations (MLOps) and data professionals.

Key Responsibilities

• Contribute to the development of Gen AI proof of concepts and enterprise solutions, such as data extractions services, chatbots or agents
• Support the design and implementation of unit and integration testing for AI solutions
• Assist in monitoring AI solutions, for example by building dashboards
• Support existing solutions by responding to incidents and troubleshooting issues
• Engage with business stakeholders to gather requirements, iterate solutions and provide training on delivered applications
• Collaborate with AI developers, MLOps and DevOps to ensure the delivery of high-quality end-to-end solutions

Qualifications

• Bachelor's or master's degree in computer science, engineering or a related field
• Knowledge of programming in Python, following the best practices
• Familiarity with version control (Git)
• Understanding of machine learning, deep learning and generative AI
• Awareness of RESTful APIs, at least from a user's perspective
• Nice to have: knowledge of cloud services, such as Azure or AWS
• Excellent problem-solving, communication and team work skills
• Fluency in English and Portuguese, both written and spoken
• A reliable team player with a collaborative attitude

Apply by submitting a CV in English.

We are proud to be an equal opportunity employer. We do not discriminate against individuals on the basis of race, gender, age, citizenship, religion, sexual orientation, gender identity or expression, disability, or any other legally protected factor. We value the unique talents of all our people, who come from diverse backgrounds with different personal experiences and points of view and we are committed to providing an environment of mutual respect.