Machine Learning Engineer

As a Machine Learning Engineer we expect you to:

• Understand business decision problems and engineer quantitative features and indicators to base decisions on;

• Develop data and feature pipelines using SQL and PySpark;

• Implement statistical analyses and machine learning algorithms to improve decision outcomes;

• Maintain ML infrastrucure;

• Apply AI components to improve our solutions.

Qualifications

• To be a quick learner, capable of developing new skills and learning new problems at a very fast pace;

• An exceptional analytical mind, and enjoy solving problems. Thinking on numbers is a natural part of your strategy to solve a problem;

• To write quality Python code, practice using git and proficiency in SQL;

• Good statistical intuition backed by solid mathematical knowledge.

You will be considered a senior applicant if you have:

• Experience writing data pipelines and using PySpark;

• Experience solving time series forecasting and optimization problems;

• Deep understanding of how machine learning algorithms work;

• Experience serving, maintaining and monitoring inference models;

• Experience designing and developing data and AI products;

How You Will be Rewarded

We offer competitive compensation, remote working flexibility, health plan and incentives for continuous learning and training.