Azure ML

Job description

**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)