Senior Backend Engineer (MLOps)

Location: Madrid, Spain — hybrid model with 2–3 days per week in the office

Company

hirify.global is a global travel-industry company building machine learning systems for revenue optimization, including ranking, recommendation, and pricing solutions.

What you will do

• Design and implement scalable ML infrastructure for training, deployment, and serving in batch and real-time environments.
• Build and maintain large-scale data pipelines and feature-engineering workflows.
• Optimize compute resources and improve model-serving performance across ML systems.
• Implement monitoring, logging, alerting, and CI/CD practices for machine learning operations.
• Collaborate with data scientists to move models from development into production.
• Research technologies, mentor junior engineers, and communicate technical solutions to stakeholders.

Requirements

• 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 is preferred.
• Strong software-engineering and problem-solving skills, with proficiency in Java and desirable Python experience.
• Understanding of ML algorithms, model architectures, and scalable, reliable ML systems.
• Experience or exposure to AWS, Docker, Spark, Kafka, CI/CD tools such as GitHub Actions, and model-serving technologies such as MLflow.
• Ability to collaborate effectively across engineering and data-science teams.

Culture & Benefits

• Friendly, collaborative environment focused on knowledge sharing and continuous learning.
• Bias for action and opportunities to work on high-impact ML infrastructure.
• Opportunity to use Java, Python, AWS, Docker, Kafka, Spark, and MLflow in real-time ML systems.