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Mid-level ML/cloud hybrid role with niche technical requirements, moderate employer brand.
Core ML, cloud, and backend skills transferable across industries though domain specifics moderate.
Explicit 5–8 years and many mandatory ML, Azure, and backend skills enforce strict filters.
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Design, develop, deploy, and maintain secure, scalable enterprise web applications and AI/ML solutions on Microsoft Azure.
Own end-to-end delivery for AI-enabled solutions including requirement analysis, coding, deployment, monitoring, and continuous improvement.
Collaborate with business stakeholders to align technology solutions with enterprise standards, security, and business objectives.
5-8 years of experience in Python-based enterprise application development with Azure deployments and AI/ML production integration.
Bachelor’s or Master’s degree in Computer Science, IT, AI, Data Science, Software Engineering, or related field.
Strong technical expertise in Python, SQL, JavaScript, REST APIs, Azure Machine Learning, Azure App Services, Azure SQL, and CI/CD pipelines.
Microsoft Azure certification in AI, Data, or Developer technologies preferred; specific Azure AI Engineer, Data Scientist, or Developer certifications are good to have.
Experienced in architecting and supporting cloud-native enterprise applications with integrated AI/ML capabilities using Azure platform.
Skilled in end-to-end solution ownership and production support including deployment automation and monitoring across multiple environments.
Capable of translating business needs into practical, secure, high-value technical solutions in a complex enterprise context.