Data Scientist/Machine Learning Eng

Your connection with Aubay starts in the following lines:

Aubay Portugal is a multinational French company, in Portugal since 2007. We have offices in Lisbon and Oporto and we are a specialized consultant in Management, Implementation, Development and Maintenance of Information Systems. We have more than 150 active partners and we operate in sectors such as banking, insurance, telecommunications, services, energy and transports.

What are we looking for?

• Strong experience with computer vision and deep learning (CNNs, transformers, object detection, segmentation, etc.).
• Proficiency in Python and deep learning frameworks like TensorFlow, PyTorch, or JAX.
• Experience with image and video processing techniques.
• Strong knowledge of data preprocessing, augmentation, and feature engineering.
• Hands-on experience deploying models using Docker, Kubernetes, TensorFlow Serving, or TorchServe.
• Experience working with cloud platforms (AWS, GCP, Azure) and on-premises infrastructure.
• Familiarity with distributed computing and big data tools (Spark, Dask, Ray).
• Understanding of CI/CD pipelines, MLOps best practices, and model monitoring.
• Ability to work with multimodal data (e.g., sensor fusion, geospatial data) is a plus.
• Advanced English (minimum C1) for effective communication in global environments.
• Work authorization in Portugal is mandatory.

What do we have to offer you?

• Health Insurance;
• Feedback&Coffee – the system that includes Aubay’s Performance Management Cycle, with regular moments of feedback and the Career Progression Model;
• Hybrid work model;
• A Training Academy designed to think of you and your needs. You can count on technical and behavioural training sessions (e-Learning and classroom), Meet&Techs, Webinars and Mentoring;
• Events and Teambuildings.

What makes us different?

• Our organizational culture is based on values such as transparency, team spirit, regular feedback and continuous learning;
• Reference prizes and birthday present;
• We don’t have a dress code;
• We call you by your name and we all address each other informally;
• Coffee and snacks at your disposal;
• You will grow in good company. Isn´t that the best way to improve professionally?

If we got your attention, we now hope to spark your enthusiasm. Ready for the first phase? We are waiting for you!

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