Remote Deep Learning AI Research Assistant (Part-Time)

SeaLink

Lahore

Remote

PKR 4,635,000 - 5,561,000

Part time

14 days+
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Job summary

SeaLink in Lahore, Pakistan, is seeking a Deep Learning AI Research Assistant for a part-time role with remote work options. You will collaborate with senior researchers to develop and test cutting-edge deep learning models, and you will analyze data to extract insights for AI applications.

The ideal candidate holds a Bachelor's degree in CS/Math or related field, with strong knowledge of deep learning, Python/Java/C++, and frameworks like TensorFlow or PyTorch.

Qualifications

  • Bachelor's degree or higher in Computer Science, Mathematics, or related field.
  • Strong understanding of deep learning concepts and techniques.
  • Proficiency in programming languages such as Python, Java, or C++.
  • Experience with popular deep learning frameworks such as TensorFlow or PyTorch.
  • Excellent analytical and problem-solving skills.
  • Ability to work independently as well as collaborate effectively with a team.

Responsibilities

  • Conduct research on deep learning algorithms and their applications in artificial intelligence.
  • Collaborate with senior researchers to develop new models and techniques.
  • Implement and test algorithms using various programming languages.
  • Analyze and interpret data to draw meaningful conclusions.
  • Prepare reports and presentations on research findings.
  • Stay up-to-date on advancements in the field of deep learning and AI.

Skills

Deep learning
Python
Java
C++
TensorFlow
PyTorch
Analytical

Education

Bachelor's degree
Master's degree

Tools

TensorFlow
PyTorch

Job description

SeaLink in Lahore, Pakistan, is seeking a Deep Learning AI Research Assistant for a part-time role with remote work options. You will collaborate with senior researchers to develop and test cutting-edge deep learning models, and you will analyze data to extract insights for AI applications.

The ideal candidate holds a Bachelor's degree in CS/Math or related field, with strong knowledge of deep learning, Python/Java/C++, and frameworks like TensorFlow or PyTorch.

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