Machine learning Engineer

Responsibilities

As an associate machine learning engineer, you will be involved in engineering research and development under the guidance of senior engineers.

  • Do literature surveys and thorough studies on existing work on a given vision-related problems
  • Implement computer vision-based or relevant algorithms to provide a solution for the given problem
  • Evaluate existing deep learning models for accuracy and performance
  • Design new deep learning models
  • Implement machine/deep learning models and perform training, testing, fine-tuning and performance testing
  • Integrate the implemented solution to the existing codebase
  • Document all research findings
  • Working with a team in a time-bound environment

Qualifications

  • Background in Electronics, Bio-medical, Electrical or Computer Science engineering
  • At least 1 years of experience in machine learning, deep learning and computer vision
  • Proficiency in Machine learning and computer vision technologies
  • Proficiency in Python programming language and deep learning frameworks (Keras, Tensorflow, Pytorch)
  • Knowledge on existing deep learning model architectures
  • Capable to read and understand research papers identified in the machine vision domain
  • Knowledge in mathematics, statistics and algorithms

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