Lead Consultant – Azure AI Engineer
Core
Design, develop, deploy, and manage AI/ML solutions on the Microsoft Azure platform, translating analytical models into production-ready scalable applications.
Role type
Senior IC Azure AI Engineer
Builds
Production-ready AI/ML applications and scalable data pipelines on Azure
Domain
Cloud computing (Azure) + Artificial Intelligence / Machine Learning
Deliverable
production ML models
Required skills
Azure AI services, ML Ops, CI/CD, data engineering, performance optimization, model retraining, system integration, troubleshooting, security compliance
Preferred skills
Azure Databricks, Azure Synapse Analytics, Agile Methodology, Design Thinking
Technologies
Azure Machine Learning, Azure Cognitive Services, Azure Databricks, Azure Synapse Analytics
Responsibilities
Architect and develop end-to-end AI/ML solutions; implement ML Ops practices for CI/CD and model retraining; build and optimize scalable data pipelines; optimize AI models and serving infrastructure for performance and cost-efficiency; collaborate with data scientists to operationalize models; diagnose and resolve issues related to AI/ML deployments and Azure infrastructure; ensure AI solutions adhere to data security and compliance best practices; create comprehensive documentation for AI solution architectures.
Seniority
Senior, hands-on IC
