Cloud AI Architect

22 hours ago

Alleppey, Kerala, India beBeeCloudAIEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Description">

Design and develop cutting-edge AI-powered cloud infrastructures to drive business growth.

Collaborate with cross-functional teams to integrate AI models into existing cloud applications, ensuring seamless scalability and performance.

Align technical solutions with business strategy by working closely with stakeholders to understand requirements.

Oversee deployment and maintenance of AI solutions, monitoring performance and ensuring long-term health.

Identify future AI needs and plan for the evolution of AI systems, ensuring continuous improvement.

Work with data scientists, data engineers, and developers to implement AI solutions that meet business objectives.

Design and implement responsible AI frameworks to ensure bias mitigation and fairness.

Integrate AI solutions with cloud-native MLOps pipelines for continuous training, deployment, and monitoring.

Utilize serverless AI services and edge AI for real-time, scalable applications.

Drive cost optimization of AI workloads via cloud resource tuning and autoscaling.

Required Skills and Qualifications">
  • 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 design and develop innovative AI-powered cloud infrastructures.
  • Chance to collaborate with cross-functional teams to integrate AI models into existing cloud applications.
  • Alignment with business strategy through close collaboration with stakeholders.
  • Responsibility for overseeing deployment and maintenance of AI solutions.
  • Role in identifying future AI needs and planning for the evolution of AI systems.
  • Contribution to designing and implementing responsible AI frameworks.
  • Integration of AI solutions with cloud-native MLOps pipelines.
  • Utilization of serverless AI services and edge AI.
  • Cost optimization of AI workloads via cloud resource tuning and autoscaling.
Others">
  • Designing and implementing AI-powered cloud infrastructure architectures.
  • Integrating AI models into cloud-based applications.
  • Ensuring alignment between technical solutions and business strategy.
  • Managing deployment and maintenance of AI solutions.
  • Identifying future AI needs and planning for system evolution.
  • Working with data scientists, data engineers, and developers to implement AI solutions.
  • Designing and implementing responsible AI frameworks.
  • Integrating AI solutions with cloud-native MLOps pipelines.
  • Utilizing serverless AI services and edge AI.
  • Driving cost optimization of AI workloads via cloud resource tuning and autoscaling.

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