Remote AI Deep Learning Engineer

TransitPro Solutions

Las Vegas (NV)

Hybrid

USD 11,000 - 21,000

Full time

39 hours ago
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Job summary

TransitPro Solutions is seeking a skilled AI Deep Learning Engineer in Las Vegas to design, implement and optimize deep learning algorithms for our AI products. You will work with Python, TensorFlow or PyTorch, and collaborate across teams to translate requirements into robust models.

The role offers a competitive monthly salary of $1600 and may include remote work options for exceptional candidates; equity or benefits may be discussed for the right fit.

Qualifications

  • Bachelor's or Master's degree in CS, Engineering, Mathematics or related field.
  • Experience with deep learning algorithms, neural networks, and ML techniques.
  • Proficient in Python, Java or C++ and DL frameworks like TensorFlow or PyTorch.

Responsibilities

  • Design and develop deep learning algorithms for various AI applications.
  • Collaborate with cross-functional teams to understand project requirements.
  • Implement and optimize DL models using Python or Java.
  • Conduct extensive testing and validation of models to ensure accuracy and efficiency.
  • Stay up-to-date with the latest advancements in deep learning techniques and tools.
  • Continuously improve existing models through performance analysis and optimization.
  • Document code, processes, and results for future reference.

Skills

Deep learning
Python
TensorFlow
PyTorch
Java
C++
Team collaboration

Education

Bachelor's or Master's degree in CS/Engineering/Math

Job description

TransitPro Solutions is seeking a skilled AI Deep Learning Engineer in Las Vegas to design, implement and optimize deep learning algorithms for our AI products. You will work with Python, TensorFlow or PyTorch, and collaborate across teams to translate requirements into robust models.

The role offers a competitive monthly salary of $1600 and may include remote work options for exceptional candidates; equity or benefits may be discussed for the right fit.

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