Senior Backend Engineer for Real-Time MLOps & ML Infra

Parser; Madrid; Vor Ort; EUR 70.000 - 100.000; Vollzeit

Benefits dieser Stelle

Knowledge sharing

Cutting-edge ML infra

Zusammenfassung

Parser seeks a Senior Backend Engineer with strong MLOps expertise to join the Revenue Optimization ML team. You will design, build, and maintain infrastructure powering ML solutions, managing data pipelines, model deployment, and compute resource optimization.

This role blends software engineering, distributed systems, and ML operations, requiring collaboration with data scientists to productionize models and scale ML systems responsibly.

Qualifikationen

• 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.

Aufgaben

• Design and implement scalable ML infrastructure for training, deployment, and serving in batch and real-time environments.
• Build and maintain 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 with Data scientists to streamline the model development-to-production workflow.
• Research and integrate new technologies, mentor junior engineers, and communicate technical solutions to stakeholders.

Kenntnisse

Java

Python

Distributed systems

CI/CD

Ausbildung

Bachelor's or Master's in Computer Science or related field

Tools

AWS

Docker

Spark

Kafka

MLflow

GitHub Actions

Jobbeschreibung

Parser seeks a Senior Backend Engineer with strong MLOps expertise to join the Revenue Optimization ML team. You will design, build, and maintain infrastructure powering ML solutions, managing data pipelines, model deployment, and compute resource optimization.

This role blends software engineering, distributed systems, and ML operations, requiring collaboration with data scientists to productionize models and scale ML systems responsibly.