Artificial Intelligence-
Deep Learning

RDMI is looking for a Deep Learning Engineer who is an expert in Deep Learning platforms. Their primary responsibility is to develop advanced neural models that can mimic brain functions. Also, they have to run ML tests and experiments and implement appropriate ML algorithms for the optimal functioning of neural networks. Deep Learning Engineers must have experience with best practices in software engineering, including unit testing, continuous integration, and source control.

Apply for this position.

Experience : 3-5 Years

Job Description


  • 2-4 years experience in designing and developing deep learning solutions.
  • Excellent knowledge of Deep Learning Architecture/ Convolutional Neural Networks.
  • Excellent Python Coding skills.
  • Robust working knowledge with deep learning frameworks like Tensorflow or Pytorch.
  • Experience with GPU/CUDA programming.
  • Deep knowledge of mathematics, probability, statistics and algorithms.
  • Understanding of data structures, data modeling and software architecture.
  • Excellent communication skills.
  • Ability to work in a team.
  • Outstanding analytical and problem solving skills.


  • At least 5 years hands-on programming experience working on enterprise products.
  • Demonstrated proficiency in multiple programming languages with a strong foundation in a statistical platform such as Python, R, SAS, or MatLab.
  • Experience building AI models in platforms such as Keras, TensorFlow, or Theano.
  • Demonstrated commitment to learning about AI through your own initiatives through courses, books, or side projects.

What we offer

Unlimited learning and growth opportunities

A collaborative and cheerful work environment

Exceptional reward and recognition policy

Outstanding compensation

Work from Home for Highly productive & disciplined employee

Flexible work hours

Opportunity to make an impact as your work will directly contribute to our business strategy.

RDMI strives to improve the diversity of our teams to better serve our diverse global audience.

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