AI Cloud Architect Expert

1 week ago

Pushkar, Rajasthan, India beBeeArtificial Full time ₹ 25,00,000 - ₹ 40,00,000

Cloud AI Architect Job Opportunity

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This role involves designing and developing cutting-edge AI-powered cloud infrastructures that meet business requirements, ensuring scalability, performance, and alignment with company goals.

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Responsibilities:

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  • Designing AI-powered cloud infrastructures: Select appropriate cloud services, design architecture, and ensure scalability and performance.
  • Integrating AI models: Seamlessly incorporate AI models into existing cloud infrastructure and applications.
  • Ensuring alignment with business strategy: Work with stakeholders to understand business requirements and translate them into technical solutions.
  • Managing deployment and maintenance: Oversee the deployment process, monitor performance, and ensure the long-term health of AI solutions.
  • Identifying future AI needs: Anticipate future business requirements and plan for the evolution of AI systems.
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Collaborate with data scientists, data engineers, and developers to implement AI solutions. Design and implement responsible AI and ethical AI frameworks ensuring bias mitigation and fairness. Integrate AI solutions with cloud-native MLOps pipelines for continuous training, deployment, and monitoring.

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Leverage serverless AI services and edge AI for real-time, scalable applications. Collaborate on AI governance and compliance with evolving data privacy laws.

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Detailed knowledge of AI/ML frameworks (TensorFlow, PyTorch, scikit-learn) integrated with cloud platforms is required. Proficient with cloud AI services: Azure AI (Cognitive Services, ML Studio), AWS AI/ML (SageMaker, Rekognition), Google AI Platform.

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A strong programming background in Python, R, or Java is essential. Understanding of data engineering concepts and cloud data platforms is also required. Familiarity with cloud security standards and data privacy regulations is necessary.

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Advanced AI/ML certifications are desired. Experience with cutting-edge AI technologies like NLP, computer vision, reinforcement learning is beneficial. Knowledge of emerging AI regulations and ethical AI standards is desirable.

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Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field is necessary. 10-15 years of experience in cloud architecture with 5+ years specializing in AI/ML system design and deployment is required.

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