Machine Learning Engineer - Flexible Hours & Growth

Urbanlogic Ltd; Setúbal; Presencial; EUR 10 000 - 14 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive salary

Career growth

Dynamic environment

Flexible hours

Training opportunities

Resumo da oferta

Urbanlogic Ltd. in Almada, Portugal, seeks a Machine Learning Engineer to develop and deploy cutting-edge ML models that solve real business challenges.

You will work with data scientists and software engineers, applying math, statistics, and CS fundamentals using Python or R, TensorFlow or PyTorch, and Pandas/NumPy. The role offers a dynamic environment with growth opportunities and flexible hours.

Qualificações

• Bachelor's or Master's in Computer Science, Mathematics, Statistics or related field.
• Strong ML concepts: regression, classification, clustering, neural networks.
• Proficiency in Python or R.
• Experience with data analysis and manipulation tools like Pandas or NumPy.
• Familiarity with ML frameworks TensorFlow or PyTorch.

Responsabilidades

• Develop and implement machine learning algorithms to solve business problems.
• Collaborate with data scientists to identify relevant data sources and perform data preprocessing.
• Build efficient pipelines for data ingestion, processing and model training.
• Test and validate models to ensure accuracy and reliability.
• Deploy models into production systems and monitor performance.

Conhecimentos

Math & Stats

Programming (Python or R)

Problem solving

Communication

Formação académica

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

Ferramentas

TensorFlow

PyTorch

Pandas

NumPy

SQL/NoSQL

Descrição da oferta de emprego

Urbanlogic Ltd. in Almada, Portugal, seeks a Machine Learning Engineer to develop and deploy cutting-edge ML models that solve real business challenges.

You will work with data scientists and software engineers, applying math, statistics, and CS fundamentals using Python or R, TensorFlow or PyTorch, and Pandas/NumPy. The role offers a dynamic environment with growth opportunities and flexible hours.