ML Engineer — Build Scalable AI Solutions in Faro

Work corp

Faro

Presencial

EUR 12 000 - 16 000

Tempo integral

14 dias+
Gerador de candidaturas

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Vantagens oferecidas por esta oferta de emprego

Competitive salary

Resumo da oferta

Work corp in Faro, Portugal is seeking a qualified Machine Learning Engineer to design, develop and implement ML models that power our products. You will collaborate with data scientists and cross-functional teams to deploy scalable ML solutions, evaluate models and iterate based on results.

A minimum of 2 years' experience and strong Python/Java/R skills are required, along with familiarity with TensorFlow, PyTorch or Keras.

Qualificações

  • Minimum 2 years of experience as a Machine Learning Engineer or related role.
  • Strong programming skills in Python, Java or R.
  • Experience with data manipulation, cleaning and preprocessing techniques.
  • Knowledge of ML frameworks such as TensorFlow, PyTorch or Keras.
  • Proven track record of developing successful machine learning models.

Responsabilidades

  • Develop machine learning algorithms to analyze large datasets and identify patterns
  • Design and implement predictive models for various use cases
  • Collaborate with cross-functional teams to integrate machine learning solutions into our products
  • Evaluate model performance and make necessary improvements
  • Stay updated with industry trends and advancements in machine learning techniques

Conhecimentos

Python
Java
R
Data cleaning

Formação académica

Bachelor's or Master's in Computer Science or Mathematics

Ferramentas

TensorFlow
PyTorch
Keras

Descrição da oferta de emprego

Work corp in Faro, Portugal is seeking a qualified Machine Learning Engineer to design, develop and implement ML models that power our products. You will collaborate with data scientists and cross-functional teams to deploy scalable ML solutions, evaluate models and iterate based on results.

A minimum of 2 years' experience and strong Python/Java/R skills are required, along with familiarity with TensorFlow, PyTorch or Keras.

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