
Lead Machine Learning Engineer
2 weeks ago
- Pipeline Development:
- Design and implement robust ML pipelines using Azure Machine Learning services.
- 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 CI/CD practices for model updates and versioning.
- Monitoring and Maintenance:
- Monitor deployed models to ensure operational standards.
- 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.
- Azure MLOps
- Azure Databricks
- Python
- PyTorch
- 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
- Opportunity to work with cutting-edge technologies
- Collaborative team environment
- Professional growth and development opportunities
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