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Deep Learning Engineer at Aptagrim Consulting

Required Skills:

Note: Requirements criteria is strict, please read before applying.



Filter criteria:

1. Candidates without Deep learning/AI experience/exposure will be ignored.

2. A portfolio of projects (GitHub, papers, etc.) is a plus

3. 'Resumes' which DO NOT provide a candidate's project specific experience/details like the business case, the development approach adopted, the datasets used and other project details will be ignored.

4. Non-Python experience will be ignored.

5. Recruitment agencies will be STRICTLY ignored.



Must-have Skills



  • Strong working knowledge of deep learning, machine learning and statistics.
  • Experience in Deep learning using Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN) and LSTM
  • Strong knowledge on deep learning applications with computer vision, image captioning, video analysis, image manipulation, image segmentation, object detection and feature mapping.
  • Functional expertise in DL modelling practices specific to data at hand (Size of model, training procedures, hand-designed layers etc.).
  • Thorough understanding of state-of-the-art DL concepts (Sequence modelling, Attention, Convolution etc.) along with knack to imagine new schemas that work for the given data.
  • NLP expertise, especially in Language modelling, experience in using pre-trained language models (Transformer /GPT /BERT).
  • Great programming skills with expertise in Python development standards.
  • Fluency in Python package ecosystem especially ML/ DL packages like TensorFlow, Keras, PyTorch etc.
  • Familiarity with code production standards and version control systems
  • Excellent communication skills
Preferred Qualifications

  • Masters degree in Statistics, Applied Mathematics, or related discipline
  • 2+ years of project management experience
  • Professional certifications
Good to have:

  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • Ability to drive a project and work both independently and in a team

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