
ML Pipeline Architect
2 days ago
Job Title: ML Pipeline Architect
Description:
We are seeking an experienced ML pipeline architect to join our team. The successful candidate will have a strong background in designing and implementing robust machine learning pipelines using Azure Machine Learning services.
Key Responsibilities:
- Pipeline Development: Design and implement efficient ML pipelines using Azure Machine Learning services, collaborate with data scientists to transition models from development to production, and possess strong knowledge of Azure Databricks.
- Automation and CI/CD: Automate training, deployment, and monitoring of ML models using Azure DevOps, and 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, and 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.
Technical Skills:
- 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
This is a 6-month contract role that requires 6-8 years of relevant experience. If you are a motivated and detail-oriented individual with a passion for ML engineering, we encourage you to apply.
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