About the Role
About Wizeline
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.
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 to integrate models into business systems.
- Document, standardize, and optimize ML deployment processes.
Must-have Skills
- Bachelor's in Computer Science, Data Engineering, or a related field.
Ready to Apply?
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