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

In order to excel at Aravita in this role, you need:

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. ;