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About the role
As a candidate for this role, you should have strong programming experience in Python, particularly in ML frameworks and Azure SDKs. Your hands-on experience with Azure services such as Azure ML, Azure AI Foundry, Azure OpenAI, AKS, Databricks, ADF, Synapse, and Azure Storage will be crucial for this position. Your responsibilities will include deploying and monitoring LLMs in production, which involves fine-tuning, prompt engineering integration, and inference optimization. You should also have knowledge of CI/CD for ML/LLMs using Azure DevOps and GitHub Actions. Proficiency in Docker and containerized deployments is essential for this role. Additionally, familiarity with MLOps best practices, including version control, reproducibility, and monitoring, will be valuable. Your problem-solving and collaboration skills should be strong to excel in this position. As a candidate for this role, you should have strong programming experience in Python, particularly in ML frameworks and Azure SDKs. Your hands-on experience with Azure services such as Azure ML, Azure AI Foundry, Azure OpenAI, AKS, Databricks, ADF, Synapse, and Azure Storage will be crucial for this position. Your responsibilities will include deploying and monitoring LLMs in production, which involves fine-tuning, prompt engineering integration, and inference optimization. You should also have knowledge of CI/CD for ML/LLMs using Azure DevOps and GitHub Actions. Proficiency in Docker and containerized deployments is essential for this role. Additionally, familiarity with MLOps best practices, including version control, reproducibility, and monitoring, will be valuable. Your problem-solving and collaboration skills should be strong to excel in this position.
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