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 infrastructure foundation for processing, training, and serving machine learning models through cloud-based platforms
• Streamline essential workflows by automating data validation, transformation, and orchestration tasks
• Partner with cross-functional teams, including data scientists and engineers, to bring ML solutions into production environments
• Enhance model serving capabilities, performance monitoring, and overall reliability within production systems
• Maintain data versioning, lineage tracking, and reproducibility throughout ML experiments and workflows
• Spot and act on opportunities to boost scalability, efficiency, and resilience across the infrastructure
• Apply strict security protocols to protect data and maintain compliance with applicable regulations
• Troubleshoot and fix technical problems within data pipelines and ML deployment processes

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