Azure ML

Key Responsibilities

• Design, build, and deploy end-to-end machine learning models using Azure Machine Learning services.
• Develop and maintain MLOps pipelines for model training, testing, deployment, and monitoring.
• Work with Azure Databricks, Azure Data Factory, Azure Synapse, and Azure Blob/Data Lake for data ingestion and processing.
• Implement CI/CD pipelines for ML workflows using Azure DevOps, GitHub Actions, or similar tools.
• Deploy ML models as REST APIs/endpoints using Azure ML managed endpoints, AKS, or containers.
• Monitor model performance, drift, and retraining processes in production.
• Collaborate with data scientists to operationalize ML models and optimize performance.
• Ensure best practices in security, scalability, governance, and cost optimization in Azure.
• Build reusable components for feature engineering, model training, and inference.
• Troubleshoot production issues related to ML pipelines and deployed models.

Required Skills

• 4–7 years of overall IT experience with strong exposure to Machine Learning and Azure Cloud.
• Hands-on experience with Azure Machine Learning Studio / Azure ML Service.
• Strong knowledge of Python, SQL, and ML libraries such as Scikit-learn, Pandas, NumPy.
• Experience with MLOps frameworks, model versioning, and experiment tracking.
• Knowledge of Docker, Kubernetes/AKS, and containerized deployments.
• Experience in Azure DevOps, Git, and CI/CD pipeline implementation.
• Familiarity with data pipelines and ETL workflows on Azure.
• Understanding of model monitoring, retraining, and lifecycle management.
• Good knowledge of supervised/unsupervised learning, feature engineering, and model evaluation techniques.
• Strong problem-solving and communication skills.

Preferred Skills

• Experience with Azure Databricks and PySpark.
• Knowledge of LLMs, Generative AI, or Azure OpenAI integration is a plus.
• Familiarity with Terraform/ARM templates/Bicep for infrastructure automation.
• Experience with Power BI or reporting tools for ML insights visualization.
• Azure certifications such as:
• Microsoft Certified: Azure Data Scientist Associate
• Microsoft Certified: Azure AI Engineer Associate
• Microsoft Certified: Azure Solutions Architect Expert (nice to have)