Senior Data Engineer

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com . We are looking for a Senior Data Engineer with strong experience in cloud-based MLOps to help build the technical foundation required to support a growing Machine Learning and Data Science organization. This is a hands-on engineering role focused on building the infrastructure, pipelines, and processes needed to move machine learning solutions from development into production. The ideal candidate has strong cloud engineering fundamentals, experience working closely with Data Science teams, and a practical understanding of the machine learning lifecycle. The primary cloud platform for the project is Google Cloud, so GCP experience is a strong plus. Key Responsibilities Design, build, and maintain scalable data infrastructure supporting machine learning initiatives. Develop reliable data pipelines and workflows that support model development, training, deployment, and inference. Implement and maintain MLOps practices across the machine learning lifecycle. Support the deployment, monitoring, versioning, testing, and maintenance of machine learning models. Build automation and CI/CD processes for data and ML workflows. Partner closely with Data Scientists to operationalize models and move solutions into production. Ensure data and ML infrastructure is reliable, scalable, maintainable, and production-ready. Troubleshoot and reso