Senior Backend Engineer with MLOps (Madrid)

Senior Backend Engineer with MLOps (Madrid)

13 oct
|
Parser
|
Madrid

13 oct

Parser

Madrid

About Parser

At Parser, we are seeking a Senior Backend Engineer with strong MLOps expertise to join the Machine Learning Engineering team of a general 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.

Role Overview

We're seeking a passionate and experienced SW Engineer to join the Revenue Optimization ML team. This high-impact role combines infrastructure expertise with applied MLOps knowledge, requiring proficiency in software engineering, distributed systems, and machine learning operations.

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), containerizati

📌 Senior Backend Engineer with MLOps (Madrid)
🏢 Parser
📍 Madrid

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