Aaspire Data Services

Experience: 7+ years in platform and cloud engineering, designing and managing scalable, secure infrastructures across Azure and AWS . Key Responsibilities: Design, deploy, and maintain ML and GenAI platforms using Azure AI, Azure ML, Databricks, AKS, AWS SageMaker, Bedrock, Lambda , etc. Manage CI/CD pipelines via Azure DevOps or AWS CodePipeline. Implement Infrastructure as Code (IaC) using Terraform, ARM/Bicep, CloudFormation . Integrate cloud databases ( Azure SQL, Cosmos DB, AWS RDS, DynamoDB, S3 ) with AI/ML services. Oversee governance, audit, observability, and compliance across ML ecosystems. Ensure security best practices including IAM, RBAC, Azure Policy, AWS SCPs, and least privilege principles. Manage networking, load balancing, VPNs, VNets, DNS , and related services. Enable ML lifecycle management – deployment, retraining, drift monitoring, and model evaluation. Apply unit and integration testing within CI/CD pipelines. Collaborate with data scientists for efficient end-to-end ML workflows . Required Skills: Azure & AWS AI Services: Azure AI Foundry, OpenAI, Bedrock, Anthropic Claude, LangChain, LlamaCloud. Security & Compliance: Token usage, prompt injection risks, jailbreak mitigation, AI Red Teaming, Azure AI Evaluation SDK. Programming: Python (TensorFlow, PyTorch, scikit-learn), Bash, PowerShell. Containers & Orchestration: Docker, Kubernetes. Monitoring Tools: Grafana, Prometheus, Application Insights, Azure Monitor. IaC & Automation: Terraform, ARM/Bicep, CloudFormation, AWS CDK. Good to Have: Azure Bot Framework, APIM, Application Gateway, GitHub Copilot, Cursor, Claude Code, M365 Copilot.