Key Responsibilities 

• Design, develop, and maintain robust APIs using frameworks such as Flask, FastAPI, or Django. 
• Implement and manage CI/CD and ModelOps pipelines for streamlined deployment, monitoring, and governance. 
• Develop and deploy containerized applications using Docker and Kubernetes. 
• Operate within a cloud-native environment (preferably Azure) to deliver secure and scalable solutions. 
• Ensure reproducibility, traceability, and compliance in application lifecycle management.

Required Skills & Experience 

• Expert-level Python development skills. 
• Proven experience delivering production-grade APIs. 
• Strong DevOps background, including CI/CD implementation and automation. 
• Solid knowledge of containerization (Docker) and orchestration (Kubernetes). 
• Experience with ModelOps practices, tools, and frameworks. 
• Experience in cloud environments, ideally Microsoft Azure. 

Nice to Have 

• Hands-on experience with Azure DevOps, Azure Container Registry, and Azure Key Vault. 
• Experience with Databricks or other modern data platforms. 
• Background in CI/CD and ModelOps for complex applications, including automated testing and deployment. 
• Familiarity with MLflow or similar tools for tracking, registry, and reproducibility.
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