ML Engineer in Porto — Build Scalable Models & Pipelines

NextWave Publications; Porto; Presencial; EUR 13 202 - 15 813; Tempo integral

Resumo da oferta

NextWave Publications is seeking a highly skilled Machine Learning Engineer to join their dynamic team in Porto, Portugal. This role involves designing and developing machine learning algorithms to tackle complex challenges across various industries. You will collaborate closely with data scientists and software engineers to create scalable solutions.

With a focus on continuous improvement and adaptation to new technologies, candidates should have a degree in Computer Science or Mathematics, alongside at least 2 years of relevant experience. This is an opportunity to work in an innovative environment and to make a significant impact.

Qualificações

• Minimum of 2 years of experience in developing machine learning models and algorithms.
• Strong programming skills in languages such as Python, Java or C++.
• Familiarity with cloud computing platforms such as AWS or Azure is a plus.

Responsabilidades

• Design and develop machine learning models and algorithms for various applications.
• Collaborate with cross-functional teams to understand business needs.
• Evaluate the performance of models using appropriate metrics.

Conhecimentos

Python

Java

C++

Machine Learning

Data Cleaning

Statistical Analysis

Formação académica

Bachelor’s or Master’s degree in Computer Science, Mathematics or a related field

Ferramentas

TensorFlow

PyTorch

Scikit-Learn

AWS

Azure

Descrição da oferta de emprego

NextWave Publications is seeking a highly skilled Machine Learning Engineer to join their dynamic team in Porto, Portugal. This role involves designing and developing machine learning algorithms to tackle complex challenges across various industries. You will collaborate closely with data scientists and software engineers to create scalable solutions.

With a focus on continuous improvement and adaptation to new technologies, candidates should have a degree in Computer Science or Mathematics, alongside at least 2 years of relevant experience. This is an opportunity to work in an innovative environment and to make a significant impact.