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Job Description
What You Will Do
- Develop ML Models: Assist in the design and implementation of machine learning models to solve specific business problems.
- Implement MLOps: Build and maintain CI/CD pipelines using Azure DevOps to automate the testing and deployment of ML models.
- Manage Infrastructure: Use Terraform to provision and manage cloud infrastructure across Azure and Google Cloud Platform (GCP).
- Monitor & Optimize: Track model performance in production and optimize infrastructure for cost and efficiency.
- Collaborate on Architecture: Work with the engineering team to ensure data science code is production-ready and integrates smoothly with existing systems.
