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# Machine Learning Engineer

- **Company:** Smadex SLU
- **Location:** Barcelona, Spain (Remote available)
- **Salary:** €70,000.0 - €90,000.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Continuous Integration, DevOps, Python (Programming Language), Linux System Administration, Machine Learning, NumPy, Workflow Management Systems, Scripting, System Availability, Pandas, Containerization, Kubernetes, Information Technology, Machine Learning Operations, Docker
- **Published:** August 9, 2026
- **Apply:** https://www.adzuna.es/contact-us.html

## About the Role

+ Master's degree in Computer Science
 + Proficiency in Python and familiarity with data related processing libraries (e.g., Pandas, NumPy).
 + Good understanding of CI/CD pipelines and DevOps practices
 + Strong Interest in machine learning topics
 + Experience in Linux environments
 + Fluency in English is mandatory
 + Possesses good communication skills both verbal and written
 + Strong problem-solving and analytical skills.
Extra points for :-)

 + Familiarity with AWS services such as EMR, EC2, Athena, S3
 + Hands-on experience with ML workflow orchestration tools (e.g., Airflow, MLflow).
 + Experience with cloud platforms (preferable AWS) and containerization technologies (Docker, Kubernetes).

## Description

We are seeking a highly skilled and motivated ML Engineer to integrate our MLOps team. The ideal candidate will have a strong background in Python coding and some knowledge of MLOps industry practices. The role also requires involvement in automation tasks for the ML team.
What will you do:

 + Design, implement, and maintain end-to-end pipelines for ML model deployment, monitoring, and lifecycle management.
 + Develop automated workflows for CI/CD in ML systems to ensure rapid and reliable deployments.
 + Implement robust monitoring and alerting systems for production ML models to ensure performance and reliability.
 + Develop and improve Python scripts responsible for algorithmic decision making, generating alarms, dashboards, reports.
 + Troubleshoot issues in real-time and ensure high availability of deployed systems.
 + Collaborate with the machine learning team (ML) to manage model retraining and updating processes.
 + Write, review and maintain high-quality Python code for MLOps tooling and automation.
What you need to have


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