Master Cloud Architect for MLOps

1 week ago


Delhi, Delhi, India RED Global Full time
Role Overview

We are seeking a seasoned Master Cloud Architect to lead the development and management of end-to-end MLOps pipelines on GCP. This role involves designing and implementing robust, high-performance architectures for machine learning applications.

Main Responsibilities:
  • Create and implement scalable and secure architectures on GCP for ML workflows.
  • Develop and manage comprehensive MLOps pipelines, encompassing data preprocessing, model training, validation, deployment, and monitoring.
  • Collaborate with cross-functional teams to translate business requirements into technical solutions.
  • Optimize cloud resources for performance, cost efficiency, and security.
  • Provide expert guidance on best practices for GCP services related to machine learning.
  • Maintain high availability and performance of ML models in production environments.
Requirements:
  • Bachelor's degree in Computer Science, Information Technology, or a related field (Master's preferred).
  • Proven experience as a Solution Architect with a focus on GCP and MLOps.
  • Strong understanding of machine learning concepts and frameworks.
  • Proficiency in GCP services, particularly those relevant to ML and data engineering.
  • Experience with containerization technologies (Docker, Kubernetes).
  • Familiarity with CI/CD practices and tools related to ML workflows.
  • Excellent problem-solving skills and ability to work collaboratively in a team environment.
  • Strong communication skills to articulate technical concepts to non-technical stakeholders.

This role offers a competitive salary of $160,000 per year, commensurate with experience.



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