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. ;