What makes you a great fit:

• Strong Python skills and experience with the Azure ecosystem (Azure DevOps, Machine Learning, Cognitive Services, KeyVault, Data Lake, Synapse); familiarity with Microsoft Fabric a plus.
• In-depth knowledge of cloud services (IaaS, PaaS, SaaS) and enterprise deployment strategies.
• Experience with Infrastructure as Code using Terraform and Azure Resource Manager.
• Commitment to code quality and security, with experience using Snyk and SonarQube.
• Experience with AI model management, including monitoring, maintenance, fine-tuning, and automated retraining.
• Good understanding of machine learning technologies and the application of AI principles.
• Proficiency in networking and security fundamentals.
• Knowledge of containerization (e.g., OpenShift, Kubernetes, Docker) is advantageous.
• Familiarity with Linux and Windows operating systems, including Bash and PowerShell scripting.
• Solid background in cloud infrastructure management, including migrations and deployments.
• Experience in building and operationalizing AI solutions.
• Proficiency in managing cloud services and automation.
• Knowledge of DevOps practices and tools, especially Azure DevOps for CI/CD.
• Minimum 4 years of experience in data science/machine learning.
• Experience in DevOps, preferably with hands-on experience in Azure cloud service providers.