Cloud Infrastructure Architect

1 day ago

Aligarh, Uttar Pradesh, India beBeeCloud Full time ₹ 1,58,10,000 - ₹ 2,15,90,000

We are seeking a visionary Cloud Architect to lead the design and implementation of AI-powered cloud infrastructures.

This role involves selecting suitable cloud services, designing scalable architectures, and ensuring seamless performance.

The successful candidate will have a strong background in cloud architecture with specialization in AI/ML system design and deployment.

Key responsibilities include:

  • Designing AI-powered cloud infrastructures for scalability and performance
  • Integrating AI models into existing cloud infrastructure and applications
  • Ensuring alignment with business strategy through collaboration with stakeholders
  • Managing deployment and maintenance of AI solutions
  • Identifying future AI needs and planning for evolution of AI systems
  • Collaborating with cross-functional teams to implement AI solutions

The ideal candidate will have a deep understanding of AI/ML frameworks integrated with cloud platforms, proficient in cloud AI services, experience with MLOps tools, and strong programming skills in Python, R, or Java.

Additional benefits include:

  • Collaboration on AI governance and compliance with evolving data privacy laws
  • Leveraging serverless AI services and edge AI for real-time applications
  • Driving cost optimization of AI workloads via cloud resource tuning and autoscaling

Required Technical Skills:

  • Cloud Services for AI/ML frameworks
  • Azure AI (Cognitive Services, ML Studio), AWS AI/ML (SageMaker, Rekognition), Google AI Platform
  • MLOps tools (Kubeflow, MLflow, Azure MLOps)
  • Programming skills in Python, R, or Java
  • Data engineering concepts and cloud data platforms
  • Cloud security standards and data privacy regulations

Desired Experience Range:

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.

10-15 years of experience in cloud architecture with 5+ years specializing in AI/ML system design and deployment.

Desired Competencies:

  • Deep knowledge of AI/ML frameworks integrated with cloud platforms
  • Proficient with cloud AI services: Azure AI (Cognitive Services, ML Studio), AWS AI/ML (SageMaker, Rekognition), Google AI Platform
  • Experience with MLOps tools: Kubeflow, MLflow, Azure MLOps
  • Strong programming skills in Python, R, or Java
  • Understanding of data engineering concepts and cloud data platforms
  • Familiarity with cloud security standards and data privacy regulations
  • Excellent leadership and stakeholder management skills

Good-to-Have Qualifications:

  • Advanced AI/ML certifications
  • Experience with cutting-edge AI technologies
  • Knowledge of emerging AI regulations and ethical AI standards

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