Machine Learning Engineer - Remote

Overview

As a Machine Learning Engineer at Xebia, you will work with data scientists and analysts to create and deploy new product features on various platforms, while establishing efficient processes for data analysis and model development.

In Short

• Work with data scientists and analysts on e-commerce and mobile app features.
• Establish automated processes for data analysis and model development.
• Write efficient software for continual-release environments.
• Promote good software engineering practices.
• Build cloud-native software for ML pipelines.
• Develop, train, and deploy machine learning models.
• Build real-time Fraud Analytics systems.

Requirements

• Experience in machine learning and data analysis.
• Proficiency in cloud platforms like AWS, Azure, or GCP.
• Strong software engineering skills.
• Ability to work in an iterative development environment.
• Familiarity with best practices in software development.

Benefits

• Opportunity to work on innovative projects.
• Support for professional development.
• Collaborative work environment.
• Access to cutting-edge technology.