Cloud Architect Specialist

6 days ago

Karachi, Sindh, Pakistan beBee Careers Full time

Job Title: Cloud Architect Specialist

Overview

We are seeking an experienced Cloud Architect Specialist to lead the design and development of scalable, high-performance cloud architectures for machine learning workloads. The successful candidate will have a strong background in cloud platforms, including AWS, Azure, or Google Cloud, and experience with cloud-based ML services.

Key Responsibilities
  • Design and Develop Scalable Cloud Architectures: Design and develop scalable, high-performance cloud architectures that leverage cloud-native technologies, ensuring alignment with business requirements and technology strategy.
  • Lead Architectural Design: Lead the architectural design of software solutions, ensuring alignment with business requirements and technology strategy.
  • Collaborate with Data Scientists: Collaborate with data scientists and ML engineers to understand model requirements and optimize training and inference workflows.
Required Skills and Qualifications
  • Strong Knowledge of Cloud Platforms: Strong knowledge of cloud platforms such as AWS, Azure, or Google Cloud, including machine learning and data processing services.
  • Hands-on Experience with ML Services: Hands-on experience with cloud-based ML services (e.g., AWS Sagemaker, Azure Machine Learning, Google AI Platform).
  • Proficiency in Programming Languages: Proficiency in building ML pipelines using cloud-native architectures, containerization (e.g., Docker, Kubernetes), and serverless computing.
  • Excellent Communication Skills: Excellent communication and leadership abilities to collaborate effectively with stakeholders, data scientists, and development teams.
Benefits and Other Requirements
  • Experience with Security and Compliance: Experience with security and compliance requirements for cloud-based ML applications.
  • Certifications and Training: Certifications in cloud technologies (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert, Google Cloud Architect) and familiarity with data processing and storage solutions for ML workloads.

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