Passionate about deep learning and natural language models
Adopt an AIOps/MLOps mindset, enabling services and developing pipelines for managing training and production models
Collaborate with internal application development teams to leverage AI services to address business objectives
Understand security, risks, and mitigations to securely load data and training models into the Cloud
Possess programming skills with experience in API and Webhook development using Python, Git Actions, and Terraform
Write and use Azure Resource Manager (ARM) and Terraform templates
Understand Azure security features, including data protection, authentication, and RBAC
Comprehend Public Key Infrastructure (PKI) and manage public and private key certificates in the Azure environment for PaaS services and applications
Ability to troubleshoot Azure, DNS, Azure connectivity, NSG, and routing issues
Proficiency in cloud automation using native Azure CLI
Understand concepts related to deploying platform and data analytics via CI/CD pipelines
Ensure all cloud solutions comply with internally defined security and compliance controls
Develop and consume APIs, SDKs, and Webhooks for multi-directional integration of cloud orchestration platforms with enterprise systems, DevOps tools, and cloud platforms
Participate in fast-paced DevOps engineering teams within Scrum agile processes
Exhibit critical thinking with strong research and analytical skills
Self-motivated with a positive attitude and an ability to work independently and within a team