About the Role
The MLOps Specialist role focuses on enhancing digital capabilities by efficiently deploying and maintaining AI applications. This position bridges the gap between Data Science and IT Operations to improve operational efficiency and involves close collaboration with multiple departments to design and implement robust AI solutions.
Key Responsibilities
Develop and Maintain AI Applications
Implement AI models using Python.
Deploy and manage AI applications using Kubernetes.
Perform ETL processes using Python and Spark.
Build and maintain APIs related to AI/ML solutions.
Ensure Code Quality and Build Deployment Pipelines
Use Git for version control.
Implement CI/CD pipelines using tools such as GitHub Actions Sonar and Fortify.
Conduct testing using frameworks such as Pytest.
Monitor and maintain AI/ML projects in production environments.
Use orchestration tools such as Control-M and Airflow.
Collaborate with Stakeholders
Qualifications :
Requirements
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 including Data Scientists Product Owners and CTOs.
Additional Information :
What do we offer you
- Hybrid position based in Madrid Spain
- Possibility to manage work permits.
- Permanent full-time contract.
- Smart Office Pack so that you can work comfortably from home.
- Training and career development.
- Benefits and perks such as private medical insurance life insurance Language lessons etc
- Possibility to be part of a multicultural team and work on international projects.
If you are passionate about data development & tech we want to meet you!
Remote Work :
No
Employment Type :
Full-time
About the RoleThe MLOps Specialist role focuses on enhancing digital capabilities by efficiently deploying and maintaining AI applications. This position bridges the gap between Data Science and IT Operations to improve operational efficiency and involves close collaboration with multiple department...
About the Role
The MLOps Specialist role focuses on enhancing digital capabilities by efficiently deploying and maintaining AI applications. This position bridges the gap between Data Science and IT Operations to improve operational efficiency and involves close collaboration with multiple departments to design and implement robust AI solutions.
Key Responsibilities
Develop and Maintain AI Applications
Implement AI models using Python.
Deploy and manage AI applications using Kubernetes.
Perform ETL processes using Python and Spark.
Build and maintain APIs related to AI/ML solutions.
Ensure Code Quality and Build Deployment Pipelines
Use Git for version control.
Implement CI/CD pipelines using tools such as GitHub Actions Sonar and Fortify.
Conduct testing using frameworks such as Pytest.
Monitor and maintain AI/ML projects in production environments.
Use orchestration tools such as Control-M and Airflow.
Collaborate with Stakeholders
Qualifications :
Requirements
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 including Data Scientists Product Owners and CTOs.
Additional Information :
What do we offer you
- Hybrid position based in Madrid Spain
- Possibility to manage work permits.
- Permanent full-time contract.
- Smart Office Pack so that you can work comfortably from home.
- Training and career development.
- Benefits and perks such as private medical insurance life insurance Language lessons etc
- Possibility to be part of a multicultural team and work on international projects.
If you are passionate about data development & tech we want to meet you!
Remote Work :
No
Employment Type :
Full-time
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