Lead Systems Engineer - Data DevOps/MLOps

Responsibilities

• Build, launch, and oversee CI/CD pipelines that enable smooth data integration and ML model rollout
• Create a strong infrastructure foundation for training, processing, and serving machine learning models through cloud-based platforms
• Streamline operations by automating essential workflows like data transformation, validation, and orchestration
• Partner with cross-functional teams such as data engineers and scientists to bring ML solutions into live production environments
• Enhance reliability, performance monitoring, and model serving within production systems
• 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 and maintain regulatory compliance
• Troubleshoot and fix technical problems within ML deployment workflows and data pipelines

Languages