
Machine Learning Engineer
5 days ago
Job Role: Azure MLOps Professional
This role focuses on leveraging machine learning to drive business growth through automation, optimization, and predictive analytics.
The ideal candidate will possess strong technical skills in Azure Databricks, Python, and PyTorch, with the ability to collaborate with cross-functional teams to develop and deploy scalable ML pipelines.
This position offers a unique opportunity to work on high-impact projects, driving innovation and excellence in the field of MLOps.
Key Responsibilities:
- Pipeline Development: Design and implement robust ML pipelines using Azure Machine Learning services, collaborating with data scientists to transition models from development to production.
- Automation and CI/CD: Automate training, deployment, and monitoring of ML models using Azure DevOps, implementing 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, ensuring compliance with data governance and security standards.
- Collaboration: Work with data engineers, software developers, and business stakeholders, providing technical support and guidance on ML best practices.
Required Skills and Qualifications:
- 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:
This role offers a competitive salary and benefits package, including opportunities for career growth and professional development.
We are an equal opportunities employer, committed to diversity and inclusion in the workplace.
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