We are looking for an experienced Azure Machine Learning Engineer to design, develop, deploy, and operationalize scalable machine learning solutions on Microsoft Azure. The candidate should have strong experience in machine learning, Python, Azure ML services, MLOps, and cloud-based AI/ML solution development.
Roles & Responsibilities
- Design and develop end-to-end Machine Learning solutions on Azure.
- Build, train, evaluate, and optimize ML models using Python and ML frameworks.
- Develop and manage ML workloads using Azure Machine Learning.
- Implement MLOps pipelines for automated model training, deployment, versioning, and monitoring.
- Deploy ML models as scalable APIs/endpoints for production applications.
- Work with Azure data services to prepare and integrate datasets for ML workloads.
- Monitor model performance and support model retraining and lifecycle management.
- Collaborate with data engineers, data scientists, architects, and application teams.
- Follow security, governance, CI/CD, and production engineering best practices.
- Troubleshoot performance and deployment issues across ML environments.
Mandatory Skills
- Azure Machine Learning
- Python
- Machine Learning algorithms and model development
- MLOps
- Model deployment and monitoring
- CI/CD for ML workloads
- Azure cloud services
- REST API / model endpoint integration
- Git / version control