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, a

📌 Databricks MLOps Engineer (Argentina)
🏢 Solvd
📍 Argentina