ML Engineer — Production-Ready Models & Deployment

GulfDesign UAE; Funchal; Presencial; EUR 11 000 - 15 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Accommodation

Visa sponsorship

Resumo da oferta

GulfDesign UAE in Funchal is seeking a skilled Machine Learning Engineer on a contract basis. You will develop and deploy ML models, collaborate with data scientists and software engineers, and optimize data processing pipelines. Accommodation and visa sponsorship are provided for international candidates.

The role requires strong Python/R skills, experience with TF/Keras/ PyTorch, and a solid foundation in ML concepts. This is a hands-on position in a fast-paced environment with tight deadlines.

Qualificações

• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related field.
• Minimum of 2 years of experience as a Machine Learning Engineer.
• Strong programming skills in Python or R.
• Experience with ML libraries such as TensorFlow, Keras, PyTorch.

Responsabilidades

• Develop and implement ML algorithms and models.
• Collaborate with data scientists to translate business needs into technical solutions.
• Integrate ML models into production systems with software engineers.
• Perform data cleaning, preprocessing, and feature engineering tasks.
• Communicate model performance using data visualization.

Conhecimentos

Python

R

Machine Learning

Model deployment

Data preprocessing

Feature engineering

Formação académica

Bachelor's or Master's degree in CS/Math/Stats

Ferramentas

TensorFlow

Keras

PyTorch

Descrição da oferta de emprego

GulfDesign UAE in Funchal is seeking a skilled Machine Learning Engineer on a contract basis. You will develop and deploy ML models, collaborate with data scientists and software engineers, and optimize data processing pipelines. Accommodation and visa sponsorship are provided for international candidates.

The role requires strong Python/R skills, experience with TF/Keras/ PyTorch, and a solid foundation in ML concepts. This is a hands-on position in a fast-paced environment with tight deadlines.