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Generative AI Developer

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April 29, 2024 3 minute read

Generative AI Developers are responsible for designing, developing, and implementing generative AI models. These models can be used for a variety of applications, such as creating realistic images and videos, generating text, and translating languages. Generative AI Developers must have a strong understanding of machine learning, deep learning, and computer vision. They must also be able to work independently and as part of a team.

Skills and Knowledge

The following skills and knowledge are essential for Generative AI Developers:

  • Machine learning
  • Deep learning
  • Computer vision
  • Python
  • TensorFlow
  • PyTorch
  • Keras
  • AWS SageMaker
  • Google Cloud AI Platform
  • Microsoft Azure Machine Learning

Education and Training

A bachelor’s degree in computer science, mathematics, or a related field is required for this role. A master’s degree or PhD in a related field is preferred. Generative AI Developers can also gain the necessary skills and knowledge through online courses and self-study.

Career Growth

Generative AI Developers can advance their careers by becoming Lead Generative AI Developers, Principal Generative AI Developers, or Research Scientists. They can also move into management positions, such as Director of Generative AI or Vice President of Generative AI.

Transferable Skills

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Salaries for Generative AI Developer

City
Median
New York
$172,000
San Francisco
$202,000
Seattle
$176,000
See all salaries
City
Median
New York
$172,000
San Francisco
$202,000
Seattle
$176,000
Austin
$350,000
Toronto
$165,000
London
£89,000
Paris
€55,000
Berlin
€122,000
Tel Aviv
₪508,000
Singapore
S$12,000
Beijing
¥394,000
Shanghai
¥453,000
Bengalaru
₹2,788,000
Delhi
₹2,200,000
Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to Generative AI Developer

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We've curated 14 courses to help you on your path to Generative AI Developer. Use these to develop your skills, build background knowledge, and put what you learn to practice.
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