About us:
Our company is governed by “your freedom is gold, Why work in a framework of the 90s with the tools of today?”. We have Kaggle type problems of the real-world and your performance is rewarded in a monetary value instead of a podium of competitors, by the way Kaggle and GitHub are good tools to define your competences !

Our collaborative work is based on:

• Big Data
• Cloud computing
• Data encrypted in the cloud
• Open source software
• Remote work
• BYOD (if needed)

For this [position/problem test] your team will be:

• A PhD expert in Machine Learning
• A PhD in Operational System and Optimization
• A PhD in Statistics
• A professional in Statistics (finishing master’s degree)
• A professional in Statistics
• Several operational experts in the problem domain
• Another trainee in artificial intelligence

The candidate will have very interesting challenges in a context of Big Data and artificial intelligence with tasks of the type (estimated percentage of your time):

• Set up routines for cloud computing on AWS, Azure, Google Cloud, etc. (10%)
• Evaluate parametric models of learning, e.g. a mixture of Gaussians (10%)
• Test different models of Machine Learning (60%):
  – Clustering
  – Decision trees
  – Support Vector Machine (SVM)
  – Hidden Markov Models (HMM)
• Evaluate the statistical performance of models, p. ex. T-type test, F test, McNemar’s Test, etc (20%).

It will be considered an asset the following skills:

• Produce auto-executable for Linux/Unix/Windows