
Data Scientist Position
19 hours ago
Location: PAN India (Hybrid Work Model)
Duration: 6 Months
Number of Openings: 1
Joining Time: Immediate
Experience Required:
- Relevant Experience: 6 to 8 years
- Total Experience: 6 to 8 years
Key Responsibilities:
Engineering and Development:
- Design and implement robust machine learning pipelines using Azure Machine Learning services.
- Collaborate with data scientists to transition models from development to production.
- Strong knowledge of Azure Databricks.
Automation and Efficiency:
- Automate training, deployment, and monitoring of machine learning models using Azure DevOps.
- Implement continuous integration and continuous delivery practices for model updates and versioning.
Monitoring and Maintenance:
- Monitor deployed models to ensure operational standards.
- Troubleshoot and resolve production issues related to machine learning models.
Documentation and Compliance:
- Maintain documentation of machine learning processes and pipelines.
- Ensure compliance with data governance and security standards.
Collaboration and Support:
- Work with data engineers, software developers, and business stakeholders.
- Provide technical support and guidance on machine learning 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
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