Machine Learning Engineer - Full-time (Accommodation)

VivaVibe Productions; Almada; Presencial; EUR 18 280 - 21 895; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Accommodation provided

Resumo da oferta

VivaVibe Productions in Almada, Portugal seeks a skilled Machine Learning Engineer to design and implement ML models across diverse use cases. You will collaborate with data scientists, work with large datasets, and translate business requirements into scalable solutions.

The role emphasizes Python/Java/R proficiency, experience with TensorFlow or PyTorch, and strong problem-solving and communication skills.

Qualificações

• Bachelor's degree in Computer Science, Mathematics or related field.
• Minimum of 2 years of experience as a Machine Learning Engineer or a similar role.
• Strong experience in developing and implementing machine learning algorithms using Python, Java or R.

Responsabilidades

• Develop and implement machine learning algorithms and models for various use cases.
• Collaborate with data scientists to understand business requirements and design appropriate solutions.
• Work with large datasets to clean, transform and prepare data for analysis.
• Utilize programming languages such as Python, Java or R to build machine learning models.
• Optimize model performance through hyperparameter tuning and feature engineering.
• Communicate effectively with stakeholders to present findings and recommendations from the machine learning models.
• Stay updated on the latest trends and advancements in machine learning techniques.

Conhecimentos

Python

Java

R

SQL

Formação académica

Bachelor's degree in CS/Math

Ferramentas

TensorFlow

PyTorch

Descrição da oferta de emprego

VivaVibe Productions in Almada, Portugal seeks a skilled Machine Learning Engineer to design and implement ML models across diverse use cases. You will collaborate with data scientists, work with large datasets, and translate business requirements into scalable solutions.

The role emphasizes Python/Java/R proficiency, experience with TensorFlow or PyTorch, and strong problem-solving and communication skills.