Description

You will lead the development of analytics applications by integrating machine learning models and applied AI into production environments.

Responsibilities

• Build and deploy analytics applications using machine learning models and applied AI.
• Develop backend services and APIs using frameworks like Flask, FastAPI, or Django.
• Manage data lifecycles using SQL and NoSQL services including Azure SQL, CosmosDB, and blob/parquet storage.
• Implement automated build and deploy pipelines using CI/CD systems and source control.
• Integrate cloud-native services including Azure Web Apps, Function Apps, Service Bus, and Event Hub.

Required Skills

• 5+ years of experience in software development or data science roles.
• Proficiency in Python, C#, or .NET.
• Hands-on experience with Flask, FastAPI, Django, or ASP.NET.
• Strong knowledge of REST API development.
• Experience with Microsoft Azure PaaS and cloud platforms.
• Practical use of SQL and NoSQL databases.
• Experience with GIT or Azure Repos.
• Familiarity with CI/CD pipelines and software validation systems.
• Bachelor's degree or equivalent graduation.

Preferred Skills

• Experience with LLM-based Generative AI frameworks.
• Hands-on work with ML/AI platforms such as Azure ML, MLflow, or SageMaker.

Key Skills

Education

Any Graduate