Overview

As an ML Engineer in the Data Science team at eDO, you will design and deploy ML and AI solutions that power our proprietary platform. You’ll contribute to building and improving our internal AI platform and share knowledge to raise data-science practices across the organization. You will work with cross-functional teams to drive impactful, scalable AI initiatives in a hybrid Barcelona setting.

Compensaciones / Ventajas

- hybrid work model
- Prime Plus membership and competitive salary
- relocation support and premium equipment
- Coursera access and onboarding program
- internal mobility and personalised career paths
- equipment lifecycle program

Responsabilidades

- Design and develop Machine Learning and AI solutions with the Data Science team
- Contribute to design and implementation of our internal AI platform
- Stay up to date with advances in ML, AI, and MLOps




- Provide training materials and communicate new developments to internal users
- Guide and promote best practices across the data science organization

Requisitos principales

- Degree in a quantitative field
- 2+ years of experience as a Machine Learning or Software engineer
- Proficiency in Python, Java, C++, or other OO language
- Understanding of ML model lifecycle and MLOps basics (CI/CD, testing, monitoring)
- Experience with REST APIs and scalable systems
- Experience with cloud platforms, distributed systems, Docker
- Familiarity with SQL databases
- English communication skills

- Strong communication and knowledge-sharing
- Proactivity and ability to offer disruptive solutions
- Curiosity and continuous learning mindset
- Python, Java, or C++
- ML lifecycle and MLOps
- CI/CD and Jenkins

📌 ML Engineer (Hybrid) - barcelona
🏢 Edreams
📍 Barcelona