The MLOps Specialist role focuses on enhancing digital capabilities by efficiently deploying and maintaining AI applications, bridging the gap between data science and IT operations to improve operational efficiency. This position involves collaboration with various departments to design and implement robust AI solutions.

• Develop and Maintain AI Applications:
- Implement AI models using Python.
- Utilize Kubernetes for deployment and management.
- Perform ETL processes with Python and Spark.
- Build and maintain APIs related to AI/ML.

• Ensure Code Quality and build deployment pipelines:
- Use Git and implement CI/CD pipelines using tools like GitHub Actions, Sonar, and Fortify.
- Conduct testing with frameworks like Pytest.
- Monitor and maintain production projects.
- Use orchestration tools like Control-M and Airflow

• Collaborate with stakeholders:
- Collaborate with Data Scientists, Product Owners, and CTOs.