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Machine Learning Engineer
3 meses atrás
We are looking for exceptional professionals to join Aravita as a Machine Learning Engineer. We will figure out your seniority during the interviewing process, and adjust our offer accordingly.
Who We Are
Aravita is committed to revolutionize retail operations using artificial intelligence and advanced supply chain optimization algorithms to help grocers place fresh food orders, avoiding spoilage due to overstocking or lost sales due to under stocking. Grocers keep shelves always stocked with perfect-looking fresh produce, focusing on sales and store operations while we manage the complexity and risks of fresh food inventory management.
Why We Need You
Tackling this sophisticated challenge requires a special team of people with ingenuity, curiosity, a passion for learning and capable of delivering 10X. If this resonates with you, rest assured you will feel right at home at Aravita.
As a Machine Learning Engineer we expect you to: (Responsibilities)
• 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: (Minimum requirements)
• 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: (Differentials to get a more senior role)
• 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.