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5 hours ago
As a senior engineer at our organization, you will play a key role in designing and implementing robust machine learning pipelines using Azure Machine Learning services. You will collaborate with data scientists to transition models from development to production and work closely with cross-functional teams.
The ideal candidate will have a strong knowledge of Azure Databricks, automation tools like Azure DevOps, and CI/CD practices. They will also be proficient in programming languages such as Python or R and have experience working with databases like Azure Data Lake and Azure SQL Database.
Key Skills and Qualifications- Machine Learning Pipeline Development:
- Design and implement efficient ML pipelines using Azure Machine Learning services.
- Collaborate with data scientists to deploy models in production environments.
- 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 (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 cross-functional teams including data engineers, software developers, and business stakeholders.
- Provide technical support and guidance on ML best practices.
Our organization offers a dynamic work environment that fosters innovation and collaboration. We are committed to delivering high-quality solutions that meet the needs of our customers. If you are passionate about machine learning and want to be part of a team that values excellence, we encourage you to apply.
Benefits include competitive compensation, comprehensive benefits, and opportunities for professional growth and development. Apply now to join our team and contribute to shaping the future of machine learning
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