Position: Data Analyst (Machine-Learning/Python/Statistics) (Hot Job)

Job Description

• 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. 

Apply Instruction

If you find this posting to be interesting or somewhat relevant with your field of expertise then, please visit https://dyre.io/subcateng/iot_software which will land you on the full description of this vacancy furthermore you can apply directly from our official website. Also, you can contact us via DYRE.

See you on the other side.

Your Friends at Bottle.