Full Stack AI/ML Engineer - Azure/Microsoft Stack

Description:

Key Responsibilities :

- AI/ML & Data Science

- Design, develop, and deploy machine learning models using Python, Azure AI Studio, Prompt Engineering, and ML frameworks.

- Perform data preparation, feature engineering, and model evaluation.

- Integrate ML models into enterprise applications and workflows.

Data Pipeline & Transformation :

- Build and optimize data pipelines in Microsoft Fabric for ingestion, transformation, and semantic modeling.

- Ensure data standardization, quality, and availability for analytics and applications.

Full Stack & Software Development :

- Develop scalable applications using C#, .NET, and modern frontend frameworks.

- Build and integrate REST APIs for data and AI-powered applications.

- Apply software engineering best practices (CI/CD, testing, DevOps).

Cloud & Platform Engineering :

- Deploy solutions on Microsoft Azure (Azure Functions, Data Lake, App Services, AI Studio) and OpenAI LLM Models

- Ensure solutions meet enterprise standards for security, performance, and compliance.

- Collaborate across teams (data scientists, engineers, business stakeholders) to deliver end-to-end solutions.

Technical Skills :

- Proficiency in Python for ML, data science, and pipelines.

- Strong development experience in C#, .NET, and API integration.

- Hands-on experience with Microsoft Fabric for data pipeline & transformation.

- Familiarity with Azure AI Studio and Azure services for deployment.

- SQL knowledge for data modeling and semantic views.

- Exposure to modern frontend frameworks (React, Angular, or Blazor) is a plus.

Experience :

- 3 - 7 years of professional experience in software engineering, data engineering, or AI/ML development.

- Proven track record of integrating AI/ML capabilities into enterprise applications.

- Experience with cloud platforms (preferably Microsoft Azure).

Soft Skills :

- Strong analytical and problem-solving abilities.

- Ability to collaborate across multidisciplinary teams.

- Excellent communication and documentation skills