Databricks MLOps Engineer

Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. We are looking for a Databricks MLOps Engineer to design, build, and operate cloud-native infrastructure that powers AI and data workloads at scale. You'll work at the intersection of platform engineering and AI — building the pipelines, deployment workflows, and observability layers that make machine learning models reliable, cost-efficient, and production-ready. This is a hands-on engineering role. You'll be writing infrastructure-as-code, building data pipelines, integrating LLMs into production systems, and collaborating closely with AI and data engineers to keep the platform performing as the workloads grow. WHAT YOU'LL DO - Design, implement, and maintain a cloud-native platform to support AI and data workloads, with a focus on Databricks and AWS Bedrock. - Build and manage scalable data pipelines to ingest, transform, and serve data for ML and analytics use cases. - Develop infrastructure-as-code using CloudFormation and AWS CDK to ensure repeatable, secure deployments. - Integrate AI models and LLMs into production systems, including RAG architectures and model serving workflows. - Drive observability best practices — monitoring, alerting, and logging across AI platforms. - Collaborate with AI engineers, data engineers, and