Mlops Engineer (Sevilla)

Mlops Engineer (Sevilla)

04 ago
|
Admiral Europe Tech
|
Sevilla

04 ago

Admiral Europe Tech

Sevilla

Role Description
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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

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- 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 elevate 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. xhfqzwm

- Participate in team and train ceremonies: PI planning, Sprint planning, Retrospectives, Daily scrum or stand up meetings.

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📌 Mlops Engineer (Sevilla)
🏢 Admiral Europe Tech
📍 Sevilla

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