Machine Learning Engineer

Role Descriptions: Design and implement AIML solutions using Azure AI services such asAzure OpenAIAzure Machine LearningAzure Cognitive Services (Vision| Language| Speech| Decision) Develop and deploy ML models using Python| R| or .NET Build end-to-end ML pipelines including data ingestion| training| evaluation| deployment| and monitoring Fine-tune and manage LLMs and generative AI solutions where applicable. Architect cloud-native AI solutions leveragingAzure ML WorkspacesAzure FunctionsAzure App ServicesAzure Kubernetes Service (AKS) Implement AI model deployment patterns (batch| real-time| and event-driven inference) Ensure scalability| resiliency| performance| and cost optimization Work with structured and unstructured data from sources such asAzure Data FactoryAzure Synapse AnalyticsAzure DatabricksAzure Data Lake Storage Implement MLOps practices usingAzure DevOps GitHub ActionsCICD pipelines for ML models Model versioning| monitoring| and retraining Ensure data quality| governan...