job descriptions

• Applicants will be involved in various Computer Vision, Natural Language Processing or Recommendation Platform.
• Done everything natively over cloud or edge using structured self-crunched data-sets incorporating various ML, DL based platforms.
• Your responsibility will be to deploy the best possible optimizing solution to the given problem.
• However, you shall be only focused on a single project with a mid-size team under your leadership. Your most radical ideas will be welcomed.

Programming:

• The candidate must have 10+ applications built (Private Projects or Otherwise) on either NumPy, PyTorch, Keras, Tensorflow with tools such as Sci-Kit Learn or BitFusion and  Programming Languages such as Python, Go or R is preferred with low-level knowledge of Node and MongoDB.
• Practices across in-device inference and training libraries such as CoreML, Auto ML will be a plus point.
• Equally important will be one's knowledge across the AI, ML, DL & RL community and research endeavorers.

Mathematics:

• Expertise over Regression algorithms SVM, Random Forest, Decision Tree, FF Neural Network and its fusions techniques should be familiar to you.
• Also, the applicant should have a ground level ability to interoperate algebraic or Newtonian expression into the required solution.

job specification

• Understanding of Mathematical Expressions better Other than Programmers.  
• Understanding of Dynamic or OOP Programming better than Mathematicians.
• Should have expert-level knowledge in Python or R.
• Must be familiar with Training-over-Cloud.  
• Should have a playful mind with libraries and frameworks such as Tensorflow, PyTorch and Keras.