Azure Machine Learning

Job Title: Azure Machine Learning Engineer

Job Summary: We are seeking an experienced Azure Machine Learning Engineer to design, develop, deploy, and maintain machine learning solutions on Microsoft Azure. The ideal candidate will collaborate with data scientists, engineers, and business stakeholders to build scalable ML models, automate MLOps pipelines, and drive AI-enabled business outcomes.

Key Responsibilities:

• Design, develop, and deploy machine learning models using Azure Machine Learning services.
• Build and manage end-to-end MLOps pipelines for model training, deployment, monitoring, and governance.
• Work with structured and unstructured data for predictive analytics and AI solutions.
• Integrate ML models with Azure cloud services and enterprise applications.
• Monitor model performance and implement continuous improvement processes.
• Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions.
• Ensure security, compliance, and best practices in cloud-based AI deployments.
• Optimize data pipelines and machine learning workflows for scalability and performance.

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field.
• Experience with Azure Machine Learning, Azure AI Services, and cloud-based ML solutions.
• Strong programming skills in Python.
• Knowledge of machine learning algorithms, model training, and evaluation techniques.
• Experience with MLOps, CI/CD pipelines, and model deployment.
• Familiarity with Azure Data Factory, Azure Databricks, Azure Synapse, and Azure Storage.
• Understanding of Data Science, Statistics, and AI concepts.