At CGD (Permanent), in Lisbon, Portugal Expires at: 2025-10-30 Remote policy: Onsite job Caixa Geral de Depósitos (CGD) is a major player in the Portuguese financial market.
CGD, formed as a public limited liability company by the Portuguese state, in 1876, is one of Portugal's leading institutions and is fully owned by the Republic of Portugal.
CGD has been at the forefront of Portuguese economic and social development.
Based on a strong corporate culture and the highest ethical standards, rigour and professionalism, CGD has received over the years various awards and is recognized as a highly reliable, solid bank in Portugal's banking sector, having merited the confidence of its many generations of customers.
Caixa's strategy for action involves effectiveness and innovation, in services to families and companies, as a partner in growth and sustained development.
Caixa is socially responsible, looking out for everyone's interests, including those of future generations, respecting basic principles such as respect for human rights, environmental conservation, and social progress of the community it is involved in.
CGD is currently recruiting for Programa Geração Caixa, a 12 months paid trainee program.
We are looking for masters and Ph.D. students with an interest in a unique learning experience that will allow getting to know more about the financial sector.
As an AI Engineer Trainee you will have the following Key Responsabilities: Leverage Unstructured Data (Image, Natural Language, Audio) for Business Efficiency.
Meeting with stakeholders, discussing their needs and translating them into Data Science problems.
Conduct data-driven analyses to provide input to decisions.
Identifying proper solutions / models / pre-trained models for particular business cases.
Preprocessing the data (cleaning, transforming) for ML models.
Train ML models on prepared training data using GPU on cloud and on premises.
Test and evaluate ML models and present conclusions on further improvements.
Using and tweaking existing frameworks for running automated testing and evaluation of ML models.
Maturing models to be available as services for other components.
Present your results on an ongoing basis to team mates and business stakeholders.
Main requirements Degree in mathematics, statistics, computer science/engineering, or other related technical fields with equivalent practical experience Professional experience inferior to 1 year Strong knowledge of Python programming language Knowledge with data science toolkits (e.g.
Numpy, Pandas, Scikit, PySpark, Databricks, MLFlow, Keras, Pytorch) Knowledge of Deep Learning with focus on NLP and Computer Vision Experience using supervised, unsupervised and semi supervised techniques on large, disparate and unbalanced datasets Experience communicating findings to other Data Scientist and project leaders Proactive attitude and agility of reasoning Strong team spirit, leadership capability, dynamism and communication capacity Excellent verbal and written communication skills in both Portuguese and English; Nice to have Experience in bank or financial sectors is a plus Experience with MLOps frameworks: e.g.
Google Vertex AI
