Lead Systems Engineer - Data DevOps/MLOps

Responsibilities

• Build, launch, and oversee CI/CD pipelines that enable smooth data integration and ML model deployment
• Build dependable infrastructure to support processing, training, and serving of machine learning models through cloud-based platforms
• Streamline key processes like data validation, transformation, and orchestration to enhance operational efficiency
• Partner with cross-functional teams, such as data scientists and engineers, to embed ML solutions within production systems
• Enhance model serving, performance tracking, and reliability within production environments
• Maintain data versioning, lineage tracking, and reproducibility throughout ML experiments and workflows
• Discover and apply strategies to boost the scalability, efficiency, and resilience of infrastructure systems
• 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

Languages