Azure AI Engineer

Role Title : Azure AI Engineer

Location : Stamford, CT - hybrid onsite

Duration : 6 months

Microsoft Azure : 4-7 years

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.

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.

Thanks & Regards

Sachin Pathak

Technical Recruiter

Artech is the #1 Largest Women-Owned IT Staffing Company in the US!

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