MLOps Engineer

Role Description

Configure/maintain/apply security patches to the infrastructure on which the data platform is based, ensure the deployment and the CI/CD of the data or ML delivery. Monitor the performance of the data pipeline and/or the ML models.

Key Objectives

• Install our tools needed to access our data and manipulate it
• Implement and configure the tools applying the Companies guidelines
• Apply security patches to the different infrastructural components
• analyze and apply if it’s possible the FinOps rules to the different infrastructural components for saving costs purposes
• Configure and maintain the different DBs engine we have on AWS (rds, redshift, postgres standalone installation) something like a DBA
• Work with the Data Architect to ensure development is aligned with the target architecture.
• Develop, Deploy & Maintain the pipelines used in the Data Platform and the local accounts (CT, LO & AS) .
• Operationalize the ML models within the Data Platform.
• Maintain and monitor the different environments for each country (CT, LO & AS)
• Configure networking rules on aws account (NACLs, Route table, security groups)
• Execute Disaster Recovery Test to ensure the data availability in case of Real Disaster
• Support the Developers and Architecture communities analyzing and fixing issue on the different layers on Data Foundation Train and local Teams (CT, LO & AS)

Main Responsibilities

• Maintain an agile mindset every day.
• Interact with security, networking and platform teams to have a secure infrastructure and guarantee a stable environment to the stakeholders
• deployment of the pipeline to ensure high quality and efficiency of the release process and also in the production environment.
• work closely with the Data Architect to monitor the target architecture.
• Communicate with Scrum Master to escalate impediments or improvement for the wagon.
• They work closely with the MLops Devs and data scientists to operationalize the ML models within the Data Platform.
• work closely with the Product Owner and Scrum Master to execute the task assigned to achieve the goal of the wagon.
• Participate in team and train ceremonies: PI planning, Sprint planning, Retrospectives, Daily scrum or stand up meetings.