
Advanced Data Scientist
1 day ago
We are seeking an accomplished ML Engineer to join our team in designing, implementing and maintaining machine learning pipelines using Azure Machine Learning services.
The ideal candidate will have a strong background in machine learning engineering, data science and software development. They will be responsible for collaborating with cross-functional teams to develop, deploy and monitor ML models, as well as ensuring compliance with data governance and security standards.
In this role, you will work on a wide range of tasks, including:
- Designing and implementing robust ML pipelines using Azure Machine Learning services.
- Collaborating with data scientists to transition models from development to production.
- Developing automation scripts to automate training, deployment and monitoring of ML models using Azure DevOps.
- Monitoring deployed models to ensure operational standards.
You will also be responsible for:
- Maintaining documentation of ML processes and pipelines.
- Ensuring compliance with data governance and security standards.
- Collaborating with other teams to identify areas for improvement and implement changes.
- Mandatory: Azure MLOps, Azure Databricks, Python, PyTorch.
- Additional: TensorFlow, Scikit-learn, Docker, Kubernetes, Azure DevOps, MLflow, Kubeflow, Azure Monitor, Application Insights.
We offer a dynamic and supportive work environment that encourages collaboration, innovation and growth. If you are passionate about machine learning and want to work with a talented team of engineers, we encourage you to apply.
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