Machine Learning Engineer

Overview

Role Descriptions: Design and implement AIML solutions using Azure AI services such as Azure OpenAI, Azure Machine Learning, Azure 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 leveraging Azure ML Workspaces, Azure Functions, Azure App Services, Azure 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 as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Data Lake Storage.

Implement MLOps practices using Azure DevOps, ...