
Machine Learning Operations Specialist
3 days ago
Azure MLOps Engineer Position
We are looking for a highly skilled Azure MLOps Engineer to join our team.
Job Summary:
The successful candidate will be responsible for designing and implementing robust machine learning pipelines using Azure Machine Learning services.
Key Responsibilities:
- Pipeline Development:
- Design and implement 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.
Required Skills and Qualifications:
- Mandatory Skills:
- Azure MLOps, Azure Databricks, Python, PyTorch.
- Additional Skills:
- TensorFlow, Scikit-learn, Docker, Kubernetes, Azure DevOps, MLflow, Kubeflow, Azure Monitor, Application Insights.
Benefits:
- Joining Time: Immediate
- Number of Openings: 1
- Duration: 6 Months
About Us:
We value collaboration, innovation, and technical expertise. If you're passionate about machine learning and want to make a real impact, we'd love to hear from you.
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