OverviewAs 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 / Beneficioshybrid 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

ResponsabilidadesDesign 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 principalesDegree 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