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Senior, specialized AI role in metro locations attracts moderate applicant density.
Highly domain-specific ML/AI and Azure MLOps skills limit cross-industry transferability.
Role requires specialized Azure AI and MLOps skills and senior-level expertise.
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Design, develop, deploy, and manage end-to-end AI/ML solutions on Microsoft Azure using services like Azure Machine Learning, Cognitive Services, Databricks, and Synapse Analytics.
Implement and maintain ML Ops practices including CI/CD, monitoring, retraining, and operational support of machine learning models in production.
Build and optimize scalable data pipelines, ensure AI solution security and compliance, and collaborate with data scientists and product managers to operationalize AI models for production readiness.
Bachelor's or Master's degree in Computer Engineering, Computer Science, Information Technology, or Software Engineering.
Certification: Microsoft Azure Developer Associate (AZ-204) or relevant Azure certifications.
Work Experience Required: Not explicitly mentioned in the JD.
Work location: Office-based with rotating shifts in India.
Experienced in architecting and deploying scalable AI/ML solutions on Microsoft Azure ecosystem with strong ML Ops and data engineering skills.
Able to collaborate effectively with multidisciplinary teams including data scientists and product managers to translate complex models into production-ready applications.
Detail-oriented in ensuring AI solution security, compliance, and performance optimization within enterprise environments.