AI Cloud Solutions Architect
1 day ago
Design and implement innovative AI-powered cloud infrastructures, integrating cutting-edge AI models with existing cloud applications to drive business success.
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions, ensuring seamless alignment between technology and strategy.
Oversee the deployment process, monitor performance, and ensure the long-term health of AI solutions, identifying opportunities for improvement and optimization.
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.
- Opportunity to work on high-impact AI projects that drive business growth and innovation.
- Collaborative and dynamic work environment with experienced professionals.
- Ongoing training and development opportunities to enhance skills and knowledge.
Collaborate on AI governance and compliance with evolving data privacy laws. Utilize multi-cloud AI strategies and hybrid-cloud integration for flexibility and disaster recovery. Drive cost optimization of AI workloads via cloud resource tuning and autoscaling.
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