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Mid-level AI role with specific Azure/Copilot requirements and moderate employer brand, raising competition.
Role requires specialized Azure AI and ML engineering skills, limiting cross-industry transferability.
Explicit 4+ years plus mandatory Azure AI, Copilot and MLOps skills enforce strict filters.
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Design, build, and optimize AI-powered solutions, agents, and workflows using Microsoft AI technologies to address business challenges and deliver measurable value.
Develop scalable AI applications integrating data pipelines, APIs, and enterprise data sources with strong adherence to software, data engineering, and AI best practices.
Manage full lifecycle including prototyping, deployment, monitoring, and implement DevOps/MLOps/AIOps for operational excellence.
4+ years experience in AI, ML, or Data Engineering building production solutions on Microsoft AI platform.
Hands-on experience with Microsoft Copilot Studio, Azure AI Foundry, Azure OpenAI, Microsoft Fabric, and data integration technologies such as Azure Data Factory and Synapse.
Proficiency in Python, SQL, API development (REST, GraphQL), and implementing DevOps/MLOps/AIOps pipelines.
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field, or equivalent practical experience.
Strong expertise with Microsoft AI ecosystem including Azure Machine Learning, Cognitive Services, and Foundry, focused on scalable, production-grade AI solutions.
Experience in full AI solution lifecycle ownership with capability to collaborate with cross-functional business and technical teams.
Proven ability in developing reusable AI components and applying governance and compliance standards in AI deployments.