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Senior, niche Azure ML role reduces competition despite Pune metro location.
Strong Azure AI, MLOps, and Power Platform requirements limit cross-industry transferability.
Requires Azure AI/ML, MLOps, Python and governance expertise; strict technical and platform requirements.
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Architect, develop, and deploy end-to-end AI/ML solutions using Azure Machine Learning, Azure AI Studio, Azure AI Foundry, and Cognitive Services.
Integrate AI models into enterprise applications and Power Platform (Power Apps, Power Automate, Power Virtual Agents) workflows with focus on scalability, security, and governance.
Implement monitoring, lifecycle management, and CI/CD for AI workloads ensuring responsible AI practices and compliance.
Bachelor’s degree in Computer Science, Computer Engineering, IT, or related field.
Hands-on experience designing and deploying AI/ML solutions on Microsoft Azure including Azure AI Studio, Azure AI Foundry, Azure ML Designer, and AutoML.
Proficiency in Python and Azure SDKs for ML and Cognitive Services with strong understanding of machine learning lifecycle (data prep, model development, evaluation, deployment).
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in integrating Azure AI models with Microsoft Power Platform applications and automation.
Familiar with MLOps tools and practices such as MLflow, Azure DevOps, or GitHub Actions supporting scalable and maintainable AI pipelines.
Able to translate business requirements into technical solutions collaborating across data engineering, analytics, and business stakeholders.