Machine Learning Engineer (Azure)

Job Summary

We are looking for a skilled MLOps Engineer with hands‑on experience in Microsoft Azure to design, deploy, and maintain scalable machine learning pipelines. The ideal candidate will bridge the gap between data science and Dev Ops, ensuring reliable and efficient model deployment, monitoring, and lifecycle management.

Key Responsibilities

• Design, implement, and manage end‑to‑end ML pipelines using Microsoft Azure services
• Build and maintain CI/CD pipelines for ML workflows using tools like Azure Dev Ops
• Deploy, monitor, and optimize ML models using Azure Machine Learning
• Automate model training, validation, and deployment processes
• Ensure scalability, reliability, and performance of ML systems
• Implement data versioning, model versioning, and experiment tracking
• Monitor model performance and retrain models as needed
• Collaborate with data scientists, data engineers, and software developers
• Ensure security, compliance, and governance in ML workflows

Skills & Qualifications

• Strong experience with Python
• Hands‑on experience with Azure services such as Azure Machine Learning, Azure Data Factory, and Azure Kubernetes Service
• Experience with containerization tools like Docker and orchestration using Kubernetes
• Knowledge of CI/CD pipelines and Dev Ops practices
• Experience with version control systems like Git
• Understanding of REST APIs and microservices architecture
• Familiarity with monitoring tools and logging frameworks