ML Engineer for AI Platform & MLOps (Hybrid, Barcelona)

eDreams ODIGEO; Barcelona; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Flexible benefits

Performance-based bonuses

Hybrid home-office model

Relocation support

Premium equipment

Coursera access

Great onboarding program

Job summary

eDreams ODIGEO is seeking an experienced ML Engineer to join its Data Science team in Barcelona. The role is hybrid, focusing on designing and developing ML solutions and contributing to the internal AI platform.

You will stay current with ML/AI and MLOps trends, provide training, and help advance best practices across the data science organization. Excellent communication in English is required.

Qualifications

• Degree in a quantitative field (CS, Engineering, Math, Stats, Physics or similar).
• 2+ years of ML or software engineering experience.
• Experience with Python, Java, C++ or other OO languages.
• Understanding of ML model life cycle and development process.
• Experience with CI/CD, testing and monitoring.
• Familiarity with Agentic application development and AI tools.
• Experience with REST APIs and scalable systems.
• Experience with cloud platforms, distributed systems and Docker.
• Written and spoken English proficiency.
• JS/Frontend experience is a plus, as is Applied AI tool usage.

Responsibilities

• Work with Data Science to design and develop ML and AI solutions.
• Contribute to design and implementation of internal AI platform.
• Stay updated with ML/AI and MLOps developments.
• Provide training materials and communicate new developments.
• Offer guidance to ensure best practices in DS organization.

Skills

Python

Java

C++

REST APIs

Cloud platforms

Docker

Distributed systems

SQL databases

English communication

Experimentation mindset

AI tools usage

Learning agility

Agentic app development

Education

Degree in a quantitative field

Tools

Jenkins

Gemini / AI tools

Job description

eDreams ODIGEO is seeking an experienced ML Engineer to join its Data Science team in Barcelona. The role is hybrid, focusing on designing and developing ML solutions and contributing to the internal AI platform.

You will stay current with ML/AI and MLOps trends, provide training, and help advance best practices across the data science organization. Excellent communication in English is required.