opment, and AI model optimization using Azure technologies.
The candidate will be responsible for developing, implementing, and optimizing Generative AI and Agentic AI solutions for enterprise applications. The role includes building AI-powered cloud-native systems, integrating IoT architectures, and working with Azure services to deliver scalable and secure AI platforms.
Professionals should have hands-on experience with Azure ML, Azure IoT Hub, Azure PaaS services, Docker, Kubernetes, Azure DevOps, and microservices architecture. Strong knowledge of AI model optimization, event-driven systems, stream analytics, and cloud infrastructure is highly preferred.
The role also involves troubleshooting AI applications, improving model performance, researching emerging AI technologies, and collaborating with cross-functional technical teams to deliver enterprise-grade AI solutions. Candidates should possess strong analytical, problem-solving, communication, and innovation skills.
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