Visionary Cloud AI Strategist

2 days ago

Vijayawada, Andhra Pradesh, India beBeeCloudAIArchitect Full time ₹ 1,20,00,000 - ₹ 2,00,00,000
Cloud AI Architect

We are seeking a skilled Cloud AI Architect to design and implement AI-powered cloud infrastructures.

About the Role
  • This is an exciting opportunity for a seasoned Cloud AI Architect to join our team.
  • The ideal candidate will have expertise in designing AI-powered cloud infrastructures, integrating AI models, ensuring alignment with business strategy, and managing deployment and maintenance.
Key Responsibilities:
  1. Design AI-powered cloud infrastructures: Selecting appropriate cloud services, designing architecture, and ensuring scalability and performance.
  2. Integrate AI models: Seamlessly incorporating AI models into existing cloud infrastructure and applications.
  3. Ensure alignment with business strategy: Working with stakeholders to understand business requirements and translate them into technical solutions.
  4. Manage deployment and maintenance: Overseeing the deployment process, monitoring performance, and ensuring long-term health of AI solutions.
Required Skills and Qualifications
  • 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 (TensorFlow, PyTorch, scikit-learn) 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.
Benefits
  • Opportunity to work on cutting-edge AI projects.
  • Collaborative and dynamic work environment.
  • Professional growth and development opportunities.
Desired Experience
  • Advanced AI/ML certifications - Microsoft Certified: Azure AI Engineer, AWS Certified Machine Learning Specialty, Google Professional Machine Learning Engineer.
  • Experience with emerging AI technologies like NLP, computer vision, reinforcement learning.
  • Knowledge of AI regulations and ethical AI standards.
  • Experience with container orchestration (Kubernetes) for scalable AI deployments.

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