- Deep understanding and application knowledge on the machine learning and computer vision, familiar with major deep-learning architecture, like CNN, GAN, Transformer.

- Strong hands-on coding ability on either python or C++, experience with Linux is preferred.

- Familiarity with the major DL frameworks either TensorFlow or PyTorch

- Great teammate with excellent written and verbal communication skills.

- Experience of unsupervised machine learning, handling large data and anomaly detection is a bonus.

- Experience of deploying a ML/DL algorithm solution end-to-end is preferred.

Minimum Qualifications :

- New college graduates in any of the following degree: Ph.D., Dual Degree, Masters, or Bachelors. (Candidates from EE, CS and Mathematics background would be preferred)

- The ideal candidate will have a working knowledge of Machine Vision.

- Knowledge of Deep Learning with working experience in Tensor Flow, Theano, PyTorch etc.

- Working experience in one or more of the following DL techniques: GANs, Auto Encoders, Semantic Segmentation,

- Ability to formulate problems into mathematical equations.