
MLOps Specialist
3 days ago
We are seeking an experienced MLOps Engineer to join our team. As a key member of our AI and machine learning group, you will be responsible for designing and implementing robust machine learning pipelines using Azure Machine Learning services.
Key Responsibilities:
- Design and implement machine learning pipelines using Azure Machine Learning services.
- Collaborate with data scientists to transition models from development to production.
- Ensure strong knowledge of Azure Databricks is essential.
Automation and CI/CD:
- Automate training, deployment, and monitoring of machine learning models using Azure DevOps.
- Implement continuous integration and delivery (CI/CD) practices for model updates and versioning.
Monitoring and Maintenance:
- Monitor deployed models to ensure operational standards are met.
- Troubleshoot and resolve production issues related to machine learning models.
Documentation and Compliance:
- Maintain documentation of machine learning processes and pipelines.
- Ensure compliance with data governance and security standards.
Required Skills:
- Mandatory: Azure MLOps, Azure Databricks, Python, PyTorch
- Additional: TensorFlow, Scikit-learn, Docker, Kubernetes, Azure DevOps, MLflow, Kubeflow, Azure Monitor, Application Insights
- Programming Languages: Python or R
- Databases: Azure Data Lake, Azure SQL Database
Benefits:
- Opportunity to work on cutting-edge AI and machine learning projects.
- Collaborative and dynamic work environment.
Others:
- Strong understanding of software development lifecycle.
- Excellent communication and teamwork skills.
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