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Ingeniero de Datos de Aprendizaje Automático

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April 29, 2024 Updated June 6, 2024 4 minute read

Machine learning engineers are professionals who combine their knowledge of computer science, software engineering, and machine learning to design, develop, and maintain machine learning systems. These systems leverage data and algorithms to automate tasks, make predictions, and improve decision-making.

The Role of a Machine Learning Engineer

Machine learning engineers typically work in teams with other engineers, scientists, and business stakeholders to identify and solve problems through the application of machine learning. They may be involved in the entire machine learning lifecycle, from data collection and preparation to model development, training, and deployment.

Their responsibilities often include:

  • Developing and implementing machine learning algorithms and models
  • Building and maintaining machine learning infrastructure
  • Collecting, cleaning, and preparing data for machine learning models
  • Evaluating and interpreting machine learning results
  • Collaborating with other engineers, scientists, and business stakeholders

Education and Skills Required

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Salaries for Ingeniero de Datos de Aprendizaje Automático

City
Median
New York
$177,000
San Francisco
$238,000
Seattle
$179,000
See all salaries
City
Median
New York
$177,000
San Francisco
$238,000
Seattle
$179,000
Austin
$158,000
Toronto
$120,000
London
£80,000
Paris
€95,000
Berlin
€94,000
Tel Aviv
₪733,000
Singapore
S$120,000
Beijing
¥426,000
Shanghai
¥494,000
Bengalaru
₹601,000
Delhi
₹753,000
Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

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