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- Experience managing ML infrastructure in production.
- Proficient with infrastructure-as-code tools like Azure Bicep, Terraform, ARM, or CloudFormation.
- Experience with Kubernetes or platforms for containerized applications.
- Knowledge of orchestration systems such as Apache Airflow.
- Proficiency in programming languages such as Python, C#, or Java.
- Certification in Azure Solutions Architect Expert or similar.
- Design and implement architectures for exploration, training, deployment, and monitoring of ML models.
- Build and maintain CI/CD pipelines for ML models, ensuring scalability and reliability.
- Implement version control for models and feature sets for reproducibility and compliance.
- Automate and manage infrastructure for data pipelines and ML model training using Azure and infrastructure-as-code tools.
- Establish engineering patterns for feature engineering and model reuse.
- Develop workflows for model validation, testing, and deployment integrated with CI/CD systems.
PythonApache AirflowKubernetesMachine LearningAzureData engineeringCI/CDTerraform
Posted 2 months ago
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