Azure Developer

Job Title : Azure Developer

Location : Northbrook, IL (Onsite)

Duration : Long-Term Contract

Job Overview

We are seeking a highly skilled Azure Developer to support the design, development, and implementation of AI-driven applications on the Microsoft Azure platform. The ideal candidate will work closely with architects, stakeholders, and delivery teams to translate business needs into robust, scalable, and secure Azure-based solutions. This role requires strong hands-on development experience, familiarity with Azure AI / ML services, and an understanding of MLOps, DevOps, and cloud best practices.

Key Responsibilities Azure Application Development

Develop, build, and deploy AI / ML-powered applications using Azure Machine Learning, Azure Cognitive Services, and Azure AI Studio.

Integrate Azure Vision, Language, Speech, and other Cognitive APIs into enterprise applications.

Implement scalable cloud-native components using Azure Functions, API integrations, and microservices.

Solution Implementation & Support

Assist in translating architectural designs into production-ready solutions .

Work closely with AI Architects to implement end-to-end pipelines and workflows.

Ensure solutions are optimized for security, performance, and scalability .

MLOps & DevOps

Support MLOps workflows including model deployment, monitoring, versioning, and CI / CD automation.

Work with DevOps teams to maintain automated build / test / deploy pipelines .

Enable reproducible and traceable machine learning workflows.

Collaboration & Technical Guidance

Work with stakeholders, delivery teams, and architects to understand technical requirements.

Participate in code reviews, follow best practices, and contribute to solution improvement.

Stay updated on Azure AI advancements and implement relevant best practices.

Required Skills & Qualifications

Strong experience developing solutions on Microsoft Azure .

Practical hands-on experience with Azure AI & ML services (Azure ML, Cognitive Services, AI Studio).

Proficiency in Python for AI / ML development and automation.

Experience integrating pre-built AI capabilities into enterprise systems.

Understanding of MLOps , including CI / CD, model validation, and monitoring.

Familiarity with Azure cloud infrastructure, data platforms, and DevOps practices.

Preferred Qualifications

Experience contributing to end-to-end AI solution development.

Background working in enterprise environments with large datasets.

Knowledge of secure, scalable cloud solution development.

Strong communication and collaboration skills.