Lead Systems Engineer - Data DevOps/MLOps

As a Lead Systems Engineer specializing in Data DevOps/MLOps, you will design, deploy, and manage CI/CD pipelines for seamless data integration and ML model deployment. You will establish robust infrastructure for processing, training, and serving machine learning models using cloud-based solutions. The role involves automating critical workflows such as data validation, transformation, and orchestration, and collaborating with cross-functional teams including data scientists and engineers to integrate ML solutions into production environments. You will improve model serving, performance monitoring, and reliability in production ecosystems while ensuring data versioning, lineage tracking, and reproducibility across ML experiments. Identifying opportunities to improve scalability and resilience of infrastructure, enforcing security measures for data compliance, and debugging technical issues in data pipelines and ML deployment workflows are key responsibilities.