Cloud ML & Data Platform Architect

Devopsroles

Pasay

Presencial

PHP 1.200.000 - 1.800.000

Jornada completa

14 días+

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Descripción de la vacante

Devopsroles is seeking a Technical Architect to lead the design and deployment of scalable ML and data science applications. You will oversee cloud-based architecture, MLOps, and CI/CD pipelines while guiding cross-functional teams to deliver reliable, scalable solutions.

The role requires hands-on experience with AWS services, multi-tenant deployments, and a track record of leadership in software engineering, data science, and DevOps.

Formación

  • 7+ years of experience spanning software engineering, data science, and DevOps roles.
  • Proven expertise in cloud platforms (AWS preferred), MLOps, and CI/CD pipeline design and management.
  • Strong programming skills and hands-on experience with data science application development and deployment.
  • Experience managing multi-tenant SaaS or ML platforms.
  • Strong leadership, communication, and stakeholder management skills.

Responsabilidades

  • Architect scalable, reusable data science and ML pipelines leveraging cloud services (AWS SageMaker, Textract, Comprehend).
  • Design multi-tenant systems with robust deployment architectures and rate-limiting for high availability.
  • Translate client requirements into scalable technical architecture and delivery planning.

Conocimientos

Leadership
Cloud architecture
CI/CD pipelines
MLOps
DevOps
Cross-functional collaboration
Mentoring

Educación

Bachelor's degree in CS/IT/Business or related field

Herramientas

AWS SageMaker
Textract
Comprehend

Descripción del empleo

Devopsroles is seeking a Technical Architect to lead the design and deployment of scalable ML and data science applications. You will oversee cloud-based architecture, MLOps, and CI/CD pipelines while guiding cross-functional teams to deliver reliable, scalable solutions.

The role requires hands-on experience with AWS services, multi-tenant deployments, and a track record of leadership in software engineering, data science, and DevOps.

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