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
Collaborate closely with Data Scientists, Product Owners, and CTOs to deliver AI solutions aligned with business needs.
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