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

eDreams ODIGEO

Barcelona

Hybrid

EUR 55,000 - 75,000

Full time

25 hours ago
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Job summary

eDreams ODIGEO in Barcelona is seeking an experienced ML Engineer to join our Data Science team on a Hybrid basis. You will design and develop machine learning and AI solutions for training and serving models, and help extend our internal AI platform.

As part of the role, you will spread knowledge across the Data Science Organization, promote best practices, and collaborate with cross-functional teams to deliver scalable, reliable AI-powered services for our travel platform.

Qualifications

  • Degree in a quantitative field.
  • 2+ years of experience in ML or software engineering.
  • Experience with Python, Java, C++, or other OO languages; JavaScript frontend is a plus.
  • Understanding of ML model lifecycle and MLOps basics.
  • Experience with CI/CD, testing, monitoring; Jenkins desirable.
  • Experience developing REST APIs and scalable systems.
  • Experience with cloud platforms, distributed systems, and Docker.
  • Familiarity with SQL databases.
  • Written and oral English communication skills.

Responsibilities

  • Design and develop Machine Learning and AI solutions with the Data Science team.
  • Contribute to the design and implementation of the internal AI platform.
  • Stay up to date with ML, AI, and MLOps developments.
  • Provide internal users with training materials and communicate new developments.
  • Promote best practices across the data science organization.

Skills

Python
Java
C++
English communication

Education

Bachelor's degree in a quantitative field

Tools

Docker
REST APIs
Jenkins
CI/CD

Job description

eDreams ODIGEO in Barcelona is seeking an experienced ML Engineer to join our Data Science team on a Hybrid basis. You will design and develop machine learning and AI solutions for training and serving models, and help extend our internal AI platform.

As part of the role, you will spread knowledge across the Data Science Organization, promote best practices, and collaborate with cross-functional teams to deliver scalable, reliable AI-powered services for our travel platform.

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