MLOps Engineer

Technical · San Sebastian, Spain, Zaragoza, Barcelona, Madrid

Multiverse Computing is a rapidly growing deep-tech company founded in 2019. We are one of the largest quantum software companies in the EU, recognized by CB Insights as one of the 100 most promising AI companies in the world.

With 180+ employees worldwide, our multicultural and international team develops advanced quantum and AI solutions to tackle complex challenges across finance, energy, manufacturing, telecoms, and beyond.

Our mission is to empower organizations to achieve significant competitive advantage through cutting-edge quantum computing and AI technologies.

About the Role

We are seeking an MLOps Engineer to help build and maintain our machine learning infrastructure and deployment pipelines. This role involves optimizing ML workflows and enabling seamless model deployment and monitoring.

Responsibilities

• Design and maintain ML infrastructure and pipelines

• Develop tools for model training, testing, and deployment

• Implement monitoring and logging for ML systems

• Optimize ML workflows for performance and cost efficiency

• Collaborate with data scientists and engineers on ML projects

• Ensure reproducibility and version control for ML experiments

• Support model deployment and serving in production

• Troubleshoot ML system issues and optimize resource utilization

What we are looking for:

• 3-5 years of experience in MLOps, data engineering, or ML infrastructure

• Strong experience with Python and ML frameworks (PyTorch, TensorFlow)

• Experience with ML platforms and tools (MLflow, Kubeflow, etc.)

• Proficiency with cloud platforms (AWS, GCP, or Azure)

• Experience with containerization (Docker) and Kubernetes

• Understanding of CI/CD pipelines and automation

• Knowledge of data pipeline and workflow orchestration tools

• Excellent problem-solving and communication skills

• Bachelor's degree in Computer Science or equivalent professional experience

What we offer:

• Competitive salary (€45,000 - €65,000 annually based on experience)

• Stock options in a well-funded deep-tech company

• Flexible work arrangements (hybrid model, multiple Spanish offices)

• Professional development budget and training opportunities

• Health insurance and retirement benefits

• International, collaborative team environment

• Direct impact on quantum computing and AI innovation

If you're passionate about MLOps and want to build infrastructure for cutting-edge AI systems, we'd love to hear from you.