Lead Systems Engineer - Data DevOps/MLOps

Responsibilities

• Build, launch, and oversee CI/CD pipelines that enable smooth data integration and ML model deployment
• Set up a reliable infrastructure to process, train, and serve machine learning models through cloud platforms
• Streamline essential workflows including data validation, transformation, and orchestration through automation
• Partner with cross-functional teams such as data scientists and engineers to bring ML solutions into live production environments
• Enhance model serving capabilities, performance tracking, and dependability 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 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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