Data Scientist / MLOps Engineer

This is a fully remote position, open to applicants in Spain.

📋 Description

• Develop solutions in Python applied to machine learning and data engineering.

• Deploy and operate machine learning models in production environments.

• Work with Docker, Kubernetes, and cloud services.

• Design and maintain data pipelines and CI/CD automation for machine learning.

• Manage code versioning and experiments using Git, MLflow, or other equivalent tools.

• Monitor models, detect drift, and participate in retraining processes.

• Configure, manage, and optimize Stratio components.

• Collaborate on MLOps practices, governance, explainability, and continuous operation.

• Ensure that models are reliable, traceable, monitorable, and sustainable over time.

⛳️ Requirements

• At least 3 years of experience in machine learning, data engineering, or MLOps.

• Comfort working with Python, cloud, Docker, Kubernetes, CI/CD, and experiment control tools.

• Experience in model monitoring, retraining, and drift detection.

• Experience or knowledge of Spark, Airflow, Kubeflow, inference APIs, microservices, or ML model industrialization projects.

• Experience configuring, managing, and optimizing Stratio components.

🏝️ Benefits

• 100% remote work from anywhere in Spain.

• Schedule with three days of intensive hours and two days of split hours.

• Autonomy, continuity, and room for growth in modern data practices, automation, and model governance.

• Real growth in MLOps.

• Salary of €53,000 SBA.