Lead Systems Engineer - Data DevOps/MLOps

Responsibilities

• Build, launch, and oversee CI/CD pipelines that enable smooth data integration and ML model deployment
• Create a strong infrastructure foundation for processing, training, and serving machine learning models through cloud-based platforms
• Streamline essential workflows including data validation, transformation, and orchestration to boost operational efficiency
• Partner with cross-functional teams, such as data scientists and engineers, to incorporate ML solutions into live production environments
• Enhance model serving capabilities, performance tracking, and reliability within production systems
• Maintain data versioning, lineage tracking, and reproducibility throughout ML experiments and workflows
• Spot and execute opportunities to boost scalability, efficiency, and resilience within the infrastructure
• Implement strict security protocols to protect data and maintain compliance with applicable regulations
• Troubleshoot and fix technical problems within data pipelines and ML deployment processes

Languages