
Highly Experienced Cloud AI Strategist
1 week ago
This is a highly technical role for experienced professionals who can design and deploy complex cloud-based AI systems.
- Key Responsibilities:
- Designing and implementing cloud-based AI architectures that meet business requirements.
- Integrating AI models into existing cloud infrastructure and applications.
- Ensuring alignment with business strategy by working with stakeholders to understand their needs.
- Managing the deployment and maintenance of AI solutions, including monitoring performance and ensuring long-term health.
- Identifying future AI needs and planning for the evolution of AI systems.
Technical Skills:
- 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.
Desirable Qualifications:
- Advanced AI/ML certifications - Microsoft Certified: Azure AI Engineer, AWS Certified Machine Learning Specialty, Google Professional Machine Learning Engineer.
- Experience with cutting-edge AI technologies like NLP, computer vision, reinforcement learning.
- Knowledge of emerging AI regulations and ethical AI standards.
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