Senior Cloud AI Architect

12 hours ago

Kozhikode, Kerala, India beBeeMachineLearning Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Cloud Architect Position

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Greetings from a top-tier technology services firm.

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We are seeking a skilled Cloud AI Architect to lead our cloud infrastructure projects.

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The ideal candidate will have expertise in cloud services for AI/ML frameworks, Azure AI, AWS AI/ML, and Google AI Platform. They will also possess knowledge of MLOps tools, such as Kubeflow, MLflow, and Azure MLOps.

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Key Responsibilities:

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  • Designing cloud architectures: Selecting appropriate cloud services, designing the architecture, and ensuring scalability and performance.\
  • Integrating AI models: Seamlessly incorporating AI models into existing cloud infrastructure and applications.\
  • Ensuring alignment with business strategy: Working with stakeholders to understand business requirements and translate them into technical solutions.\
  • Managing deployment and maintenance: Overseeing the deployment process, monitoring performance, and ensuring the long-term health of AI solutions.\
  • Identifying future AI needs: Anticipating future business requirements and planning for the evolution of AI systems.\
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    • Required Skills and Qualifications:\
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      • 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.\
      • Deep knowledge of AI/ML frameworks integrated with cloud platforms.\
      • Proficient with cloud AI services: Azure AI, AWS AI/ML, Google AI Platform.\
      • Experience with MLOps tools: Kubeflow, MLflow, Azure MLOps.\
      • Strong programming skills in Python, R, or Java.\
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Additional Considerations:

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  • Designing and implementing responsible AI and ethical AI frameworks ensuring bias mitigation and fairness.\
  • Integrating AI solutions with cloud-native MLOps pipelines for continuous training, deployment, and monitoring.\
  • Leveraging serverless AI services and edge AI for real-time, scalable applications.\
    • ],

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