ML Engineer, Lisbon: Build scalable AI solutions

Ecojob

Lisboa

Presencial

EUR 13 000 - 15 000

Tempo integral

Há 7 dias
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Resumo da oferta

Ecojob in Lisbon is seeking a skilled Machine Learning Engineer to design and implement ML algorithms that solve complex business problems. You will work closely with data scientists and software engineers to develop reliable, scalable solutions that utilize cutting-edge machine learning techniques.

Responsibilities include developing and implementing models to extract insights from large datasets, collaborating to productionize ML solutions, conducting experiments, and optimizing algorithms for

Qualificações

  • Degree in CS, math, statistics or related field.
  • Minimum 2 years of ML engineering experience.
  • Strong knowledge of ML algorithms (neural nets, trees, ensembles).
  • Proficient in Python, R or Java.

Responsabilidades

  • Develop and implement ML algorithms and models to extract insights from large datasets.
  • Collaborate with data scientists and software engineers to integrate ML solutions into production systems.
  • Conduct experiments and perform data analysis to evaluate model performance.
  • Optimize algorithms for scalability, speed, and accuracy.
  • Stay up-to-date with the latest advancements in ML techniques and tools.
  • Communicate complex technical concepts to non-technical stakeholders.

Conhecimentos

Python
R
Java
Problem solving
Communication

Formação académica

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

Ferramentas

Hadoop
Spark

Descrição da oferta de emprego

Ecojob in Lisbon is seeking a skilled Machine Learning Engineer to design and implement ML algorithms that solve complex business problems. You will work closely with data scientists and software engineers to develop reliable, scalable solutions that utilize cutting-edge machine learning techniques.

Responsibilities include developing and implementing models to extract insights from large datasets, collaborating to productionize ML solutions, conducting experiments, and optimizing algorithms for

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