Description

Lead the development and deployment of analytics applications by integrating machine learning models and applied AI into production environments.

Responsibilities

• Build and deploy scalable backend services using Python, C#, or .NET frameworks.
• Architect cloud-native solutions using Azure PaaS services including Web Apps, Function Apps, Service Bus, and Event Hub.
• Manage data lifecycles using SQL and NoSQL services such as Azure SQL, CosmosDB, and blob/parquet storage.
• Maintain software quality through GIT source control and automated CI/CD deployment pipelines.
• Develop REST APIs and integrate machine learning models into production workflows.

Required Skills

• 15+ years of professional experience in technical roles.
• Proficiency in Python, C#, or .NET.
• Hands-on experience with Flask, FastAPI, Django, or ASP.NET.
• Direct experience with Microsoft Azure PaaS and REST API development.
• Strong knowledge of SQL and NoSQL databases.
• Experience with Azure services including Service Bus and Event Hub.
• Competency with software lifecycle tools, including GIT, Azure Repos, and CI/CD pipelines.
• Experience with Azure SQL, CosmosDB, and blob/parquet storage.

Preferred Skills

• Exposure to LLM-based Generative AI frameworks and platforms.
• Practical experience with ML/AI platforms such as Azure ML, MLflow, or SageMaker.

Key Skills

Education

ANY GRADUATE