MLOps Engineer: AI Apps

A global consulting group is seeking an MLOps Specialist to enhance digital capabilities by deploying AI applications. This hybrid position in Madrid, Spain, involves developing and maintaining AI models, managing deployments with Kubernetes, and ensuring code quality through CI/CD pipelines. Ideal candidates should have experience with Python, ETL processes, and testing frameworks. The role includes collaboration with cross-functional teams and offers benefits like private medical insurance and opportunities for career development., * Develop and maintain AI applications using Python.

• Deploy and manage AI applications with Kubernetes.
• Perform ETL processes using Python and Spark.
• Build and maintain APIs related to AI/ML solutions.
• Ensure code quality with Git for version control.
• Implement CI/CD pipelines using tools such as GitHub Actions.
• Conduct testing with frameworks like Pytest.
• Monitor and maintain AI/ML projects in production environments.
• Use orchestration tools like Control-M and Airflow.
• Collaborate with stakeholders including Data Scientists and Product Owners.

Conocimientos

AI models using Python Kubernetes ETL processes using Python and Spark APIs for AI/ML Git for version control CI/CD pipelines using GitHub Actions, Sonar, and Fortify Testing frameworks like Pytest Monitoring production projects Workflow orchestration tools like Control-M and Airflow Cross-functional team collaboration Descripción del empleo Descripción del empleo

• Experience implementing AI models using Python.
• Hands-on experience with Kubernetes for deployment and management.
• Experience performing ETL processes using Python and Spark.
• Experience building and maintaining APIs for AI/ML applications.
• Experience using Git for version control.
• Experience implementing CI/CD pipelines using GitHub Actions, Sonar, and Fortify.
• Experience with testing frameworks such as Pytest.
• Experience monitoring and maintaining production projects.
• Experience using workflow orchestration tools such as Control-M and Airflow.
• Ability to collaborate effectively with cross-functional teams.