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AI DevOps / ML / MLOps with Azure
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Full-time
- Select appropriate AWS and/or Azure technologies, considering deployment models and integration with existing tools.
- Design, implement, and maintain distributed computing solutions for data processing and model training, ensuring the security, scalability, and reliability of machine learning infrastructure.
- Understand and contribute to MLOps and LLMOps, focusing on operational capabilities and infrastructure to deploy and manage machine learning models and large language models.
- Bachelor's Degree in any of Computer Science, Statistics, Data Science, or a related field.
- Certifications in AI/Client technologies and Cloud platforms, such as AWS Certified Machine Learning, Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect
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