Lead Systems Engineer - Data DevOps/MLOps

Responsibilities

• Build, launch, and maintain CI/CD pipelines that enable smooth data integration and ML model deployment
• Create a solid cloud-based infrastructure foundation for training, processing, and serving machine learning models
• Streamline operations by automating essential workflows like data validation, transformation, and orchestration
• Work alongside cross-functional teams, such as data scientists and engineers, to bring ML solutions into production
• Enhance performance monitoring, model serving, and reliability within production environments
• Maintain reproducibility, lineage tracking, and data versioning throughout ML workflows and experiments
• Spot and act on opportunities to boost the infrastructure's resilience, efficiency, and scalability
• Apply strict security protocols to protect data while maintaining compliance with applicable regulations
• Troubleshoot and fix technical problems within ML deployment workflows and data pipelines

Languages