Description :

Job role : MLOPs

Location : Pan India.

Exp : 4yrs to 7yrs.

Key Accountabilities-MLOPs :

- Understand and work with requirements for ML pipelines.

- Develop ML pipelines.

- Automate ML pipelines, including for scheduling, monitoring, status notification and resiliency.

- Collaborate with analysts, data engineers, data scientists and visualization developers to ensure ML pipeline development is consistent with end-to-end solution delivery.

- Write robust, maintainable code.

- Create and improve documentation for development and operation of ML pipelines.

- Investigate and resolve production issues.

- Participate in code review and provide support and guidance to other engineers on the team.

- Participate in agile ceremonies and project management requirements.

Qualifications :

- Significant experience developing ML pipelines with Python and packages in the Python ML ecosystem (pandas, scikit-learn, etc.).

- Significant experience developing ML pipelines in the cloud (GCP preferred, but other similar platforms would also provide relevant experience).

- Strong verbal and written communication skills including the ability to interact effectively with colleagues of varying technical and non-technical abilities.

- Agile software development experience such as Kanban and Scrum.

- Strong understanding of CI/CD tools such as Github Workflows.

- Strong understanding of orchestration frameworks such as Airflow.