Machine Learning Engineer Xccelerated GoDataDriven Binx

What it’s about 

As a Machine Learning Engineer, you collaborate with Data Scientists and Data Engineers to develop scalable, production-ready applications powered by data and AI. You are a Scientist or Engineer who embraces mathematics and understands the process of taking models from development to production. You possess the necessary skills and courage to bring ideas from your laptop to the cloud.

How you will help in creating value with Data & AI

At Xebia, we establish robust Data & AI practices to bring value to our clients and their customers. Our team of data professionals has successfully implemented energy-saving algorithms at a national scale, automated video labelling with GenAI for TV programmes and established data innovation labs in large multinational corporations. By joining our team, you can contribute to even greater achievements in making top companies AI-driven.

As a machine learning engineer, your responsibility is to take AI solutions into production to generate value. You ensure that applications are scalable, testable, robust, and extendable through your expertise in engineering and machine learning.

What you will do to make AI-driven applications

You collaborate closely with data scientists and business users on your team to understand the problem being addressed and their approach. Your communication skills help find the shortest path from Data to value. Your Engineering skills enable you to to build scalable AI solutions that are robust and easy to maintain

During on-site client engagements, you may encounter challenging problems. Fortunately, Xebia organizes regular remote work sessions where you can discuss and find solutions with the collective intelligence of the entire team. If immediate assistance is needed, every Xebia member is just a quick message away, always ready to provide support.