Job description

Must-Have 1. Hands on experience in Azure App Services(Azure Functions and WebApps), Integrations of App services with Data Lake blob storage, Cosmos DB, Azure AI Services, Azure DevOps 2. Data Modelling (Conceptual, Logical and Physical Data Models and Types of Data Models) Good-to-Have: Understanding of a Data Science or RAG pipeline Good-to-Have 1. Good knowledge on Azure infrastructure including Networking, AZ-204/AI-102 certification, Terraform 2. Understand of data driven application development, RAG pipeline Responsibility of / Expectations from the Role 1 Expertise with developing solutions using programing languages like Python, C# 2 Experience in build, manage and deploy AI solutions that leverage Azure AI services 3 Experience with different phases of AI solution development like, Requirements definition and design, development, deployment, release management, integration, maintenance, performance tuning, monitoring. 4 Familiar with IT operations e.g., networking, identity, security, storage and governance 5 Familiar with Azure or other Cloud Architecture patterns. Azure/MS reference as an example; Cloud design patterns - Azure Architecture Center | Microsoft Learn 6 Knowledge of integrating AI capabilities in user facing applications and solutions 7 Conscious of security practices on cloud / distributed systems Details of The Project - Reinsurance Customer based out of USA. Implementation of unstructured Data Ingestion platform where models are trained and published to extract data from various PDF forms, Handwritten forms, emails, etc.

Requirements