
Lead Machine Learning Engineer
2 days ago
Azure MLOps Engineer - Machine Learning Pipeline Developer
We are seeking a highly skilled engineer to develop and implement robust machine learning pipelines using Azure Machine Learning services.
Key Responsibilities:- Pipeline Development:
- Design and implement efficient ML pipelines for model training, deployment, and monitoring.
- Collaborate with data scientists to transition models from development to production.
- Strong knowledge of Azure Databricks is required.
- Automation and CI/CD:
- Automate training, deployment, and monitoring of ML models using Azure DevOps.
- Implement continuous integration and delivery practices for model updates and versioning.
- Monitoring and Maintenance:
- Monitor deployed models to ensure operational standards and performance.
- Troubleshoot and resolve production issues related to ML models.
- Documentation and Compliance:
- Maintain documentation of ML processes and pipelines.
- Ensure compliance with data governance and security standards.
- Collaboration:
- Work with data engineers, software developers, and business stakeholders.
- Provide technical support and guidance on ML best practices.
- 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
The ideal candidate will have a strong background in machine learning engineering and a minimum of 6 years of relevant experience.
This role offers an excellent opportunity to work on cutting-edge technology and contribute to the success of our organization.
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