Machine learning engineer

Aubay; Lisboa; Híbrido; EUR 42 000 - 68 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Training Academy

Mentoring

Health insurance (including dental)

Mental health platform

Team events

Hybrid work model

Career advancement

Resumo da oferta

Компания Aubay Portugal приглашает ML-инженера присоединиться к команде и работать над критическими системами для крупных клиентов в разных секторах. Гибридный формат и поддержка профессионального роста задают тон нашей работе.

Требования: 5+ лет в роли ML-инженера, сильное знание Python, ML-алгоритмов, опыт TensorFlow/PyTorch/Scikit-learn, обработка данных, инженерия признаков и оценка моделей. Английский уровень B2 обязателен.

Qualificações

• 5+ лет в роли Machine Learning Engineer или аналогичной
• Сильное владение Python
• Глубокое понимание ML-алгоритмов, статистического моделирования и структур данных
• Опыт работы с ML-фреймворками: TensorFlow, PyTorch или Scikit-learn
• Опыт обработки данных, инженерии признаков и оценки моделей
• Требовательный уровень владения английским языком (B2)

Conhecimentos

Python

Machine Learning

Data processing

Feature engineering

Model evaluation

TensorFlow

PyTorch

Scikit-learn

English (B2)

Ferramentas

TensorFlow

PyTorch

Scikit-learn

Descrição da oferta de emprego

Описание

At Aubay Portugal, we work daily with some of the largest organisations across sectors such as banking, insurance, telecommunications and energy, helping to build and evolve critical systems that support millions of users. We have been in Portugal since 2007 and part of an international group with a presence in several European countries. More than technology, we build close relationships and deliver real-impact projects.

Требования

• 5 years or more as a Machine Learning Engineer or in similar roles
• Strong programming skills in Python
• Solid understanding of machine learning algorithms, statistical modeling, and data structures
• Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Experience with data processing, feature engineering, and model evaluation
• English B2 - mandatory

Условия

• Continuous growth through our Training Academy, with technical and soft skills training, mentoring, tech communities, workshops and in-person meetups
• Close support with regular feedback and a structured career advancement model
• Comprehensive health insurance, including dental coverage, as well as access to a mental health platform and well-being initiatives
• Team-oriented environment, including events and initiatives to promote connection and team spirit Personal and family life support, from the moment your children are born and throughout their educational path
• Access to a language platform with conversational classes in multiple languages
• Project-tailored work model: hybrid. A close-knit and informal environment, where direct communication is preferred and people are valued
• Recognition of your contribution, with initiatives that celebrate important meaningful moments
• Freedom to be yourself, without any unnecessary formalities
• Teams where knowledge sharing, collaboration and joint growth are a reality