Job Description
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We Are Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact. With the right people and the right ideas, there’s no limit to what we can achieve. Are you a fit? Sounds awesome, right? Let’s make sure you’re a good fit for the role.
Key Responsibilities
- Design and develop MLOps pipelines for model training, deployment, and retraining.
- Containerize models using Docker and deploy via Azure Databricks or AKS.
- Implement CI/CD workflows with MLflow and GitHub Actions.
- Monitor model performance and data drift using Azure-native tools.
- Collaborate with Data Scientists and Engineers ...
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