Senior Systems Engineer - Data DevOps/MLOps

Responsibilities

• Build, launch, and maintain CI/CD pipelines supporting data integration and ML model deployment
• Establish and maintain cloud-based infrastructure for data processing and model training
• Streamline data validation, transformation, and workflow orchestration through automation
• Partner with data scientists, software engineers, and product teams to ensure seamless ML model integration into production environments
• Improve model serving and monitoring capabilities to increase system performance and reliability
• Oversee data versioning, lineage tracking, and reproducibility across ML experiments
• Continuously identify opportunities to improve deployment workflows, scalability, and infrastructure resilience
• Enforce robust security measures to protect data integrity and ensure regulatory compliance
• Diagnose and resolve problems across the entire data and ML pipeline lifecycle

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