HDNNS001
93
Mid-level / Full-time / On-site / HDNNS001

Python Developer

Job Summary

Our partner is specialized in the development and maintenance of customized software. Responding to the expectations of customers from various sectors of activity, their softwares are developed in a spirit of reliability and simplicity of use. Available and at your disposal, our client's team maintains special ties with its partners.

We believe that deriving insight from big data will become essential and transformative for every enterprise.
We believe that machine intelligence has the ability to revolutionize industries, allowing businesses to scale with algorithms and raw computing power rather than people, drastically improving human productivity, increasing operational effectiveness, and advancing scientific discovery.

MEANING OF OUR MISSION

We create technology that learns and gets smarter with the goal of helping humans see the world more clearly so they can solve the world’s toughest problems.

HEART OF OUR HISTORY

From inspired startup to industry leader, an optimistic vision evolves into a company that’s transforming the way people experience technology.

PASSION OF OUR PEOPLE

Reasoners are a collection of daring, creative and passionate minds focused on taking technology in brave new directions.

RESPONSIBILITIES:

  • The new colleague should prepare datasets and rigorously train a neural network starting off with the existing libraries.
  • Implement, evaluate and improve deep learning algorithms to improve classification performance.
  • Enable continuous training from the users' input.

MANDATORY REQUIREMENTS:

  • University level (bachelor or master)
  • 1-3 years of experience or a striking passion to develop in Python.
  • Agileness and willingness to work independently and be self-driven.

OPTIONAL REQUIREMENTS:

  • Implementing deep-learning algorithms in C++, Python, with a focus on neural networks for image recognition.
  • Familiarity with DL libraries such as Caffe / TensorFlow / Theano or similar frameworks.
  • Technical proficiency GPU programming using CUDA.

We prefer somebody with strong passion for machine learning.

python DL machine learning Caffe TensorFlow Theano CUDA