Senior Backend Engineer (Python + MLOps)

We are seeking a Senior Backend Engineer with strong MLOps expertise to join the Machine Learning Engineering team of a global leader in the travel industry. In this role, you will help design, build, and maintain the infrastructure that powers our ML solutions managing data pipelines, streamlining model deployment, and optimizing compute resources. 

You’ll work on high-impact systems such as ranking, recommendation, and pricing optimization, while collaborating closely with data scientists to integrate models into production.

Key Responsibilities

• Design and implement scalable ML infrastructure for training, deployment, and serving in
  batch and real-time environments.
• Build and maintain efficient data pipelines for large-scale processing and feature engineering.
• Optimize compute resources and improve model serving performance across ML systems.
• Implement robust monitoring, logging, and alerting systems, and contribute to ML Ops
  practices including CI/CD pipelines.
• Collaborate closely with Data scientists to streamline the model development-to-production workflow.
• Research and integrate new technologies, mentor junior engineers, and communicate
  technical solutions to diverse stakeholders.
  

Qualifications

• Bachelor´s or Master´s degree in Computer Science, Software Engineering, or a related technical field.
• 6-7 years of experience in Software, Data, or ML engineering roles (preferred).
• Strong problem-solving skills, proficiency in Java and desirable Python.
• Understanding of ML algorithms, model architectures, and experience building scalable,
  reliable ML systems.
• Exposure to cloud platforms (e.g., AWS), containerization (Docker), and scalable data
  systems (e.g., Spark, Kafka).
• Familiarity with CI/CD tools (e.g., GitHub Actions), ML model serving technologies (e.g.,
  MLflow), and ability to collaborate well across teams.

Ideal Candidate

• This role is well-suited to someone with a solid foundation in at least one of the following areas:software engineering, data engineering, distributed systems, or applied machine learning and a readiness to grow into others as the work requires. We welcome candidates who are strong, language-agnostic problem solvers and passionate about building robust ML systems.

Location

• Madrid: Hybrid work model with an expected office presence of 3 days per week.

Some of the benefits you'll enjoy working with us:

• The chance to join an organization with triple-digit growth that is changing the paradigm on how software products are built.
• The opportunity to form part of an amazing, multicultural community of tech experts.
• A highly competitive compensation package.
• Medical insurance.

How to Apply

If you believe you can do the job and are excited to grow with us, we'd love to hear from you. Please submit your application through our careers page.

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