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Machine Learning (Must be based in Portugal or Greece)

Phiture

Lisboa

Teletrabalho

EUR 40 000 - 60 000

Tempo integral

Hoje
Torna-te num dos primeiros candidatos

Resumo da oferta

A technology company based in Lisbon is seeking a talented Machine Learning Engineer. The role involves designing, building, and deploying machine learning models to solve real-world problems. Candidates should have 3+ years of experience and proficiency in Python and ML libraries like TensorFlow or PyTorch. This position offers the opportunity to collaborate across teams and engage with large datasets in a dynamic environment.

Qualificações

  • 3+ years of hands-on experience in machine learning or data science roles.
  • Strong understanding of supervised and unsupervised learning techniques.
  • Familiarity with cloud platforms and ML model deployment.

Responsabilidades

  • Design, develop, and deploy machine learning models for a variety of applications.
  • Collaborate with cross-functional teams to integrate models into production systems.
  • Document processes and code for reproducibility and scalability.

Conhecimentos

Python
Machine Learning libraries (TensorFlow, PyTorch, Scikit-learn)
Data processing tools (pandas, NumPy, SQL)
Statistics and probability

Ferramentas

ML libraries (TensorFlow, PyTorch, Scikit-learn)
Descrição da oferta de emprego
Job Title

Machine Learning Engineer

Location

Must be based in Portugal or Greece

Job Type

Full-time

Job Summary

My client are seeking a talented and motivated Machine Learning Engineer to join their team. The ideal candidate will be responsible for designing, building, and deploying machine learning models that solve real-world problems and improve their products and services. You will collaborate with data scientists, engineers, and product teams to turn data into actionable insights and scalable solutions.

Key Responsibilities
  • Design, develop, and deploy machine learning models for a variety of applications
  • Work with large datasets, perform data preprocessing, and engineer features
  • Evaluate model performance using appropriate metrics and iterate on solutions
  • Collaborate with cross-functional teams to integrate models into production systems
  • Research and implement state‑of‑the‑art ML techniques
  • Maintain and monitor model performance over time
  • Document processes and code for reproducibility and scalability
Required Qualifications
  • 3+ years of hands‑on experience in machine learning or data science roles
  • Proficiency in Python and ML libraries such as TensorFlow, PyTorch, or Scikit‑learn
  • Strong understanding of supervised and unsupervised learning techniques
  • Experience with data processing tools such as pandas, NumPy, and SQL
  • Familiarity with cloud platforms and ML model deployment
  • Solid understanding of statistics and probability
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