Azumo is a nearshore development shop (201–500 people across Latin America and the US) with deep expertise in AI/ML infrastructure and data engineering. The tech stack—Python, PyTorch, Airflow, Kafka, Snowflake, and emerging adoption of Azure DevOps and Fabric—reflects active movement toward production ML systems and cloud-native data pipelines. Current project focus (RAG pipelines, MLOps implementation, generative AI solutions, model deployment) confirms they're solving real operational problems, not just selling headcount; internal pain points around cost management, cloud governance, and scaling backend infrastructure suggest they're managing complexity as their client base grows.
Azumo builds intelligent applications for mid-market and enterprise customers across fintech, media, entertainment, and healthtech. The company staffs distributed engineering teams (primarily in Latin America, with some US-based roles) to extend or fully replace client development capacity. Their service lines span AI/ML (including chatbots and generative AI), data engineering and analytics, cloud infrastructure, and full-stack web and mobile development. With 123 active roles (42 posted in the last 30 days) and senior-skewed hiring, they are actively scaling engineering capacity while managing operational complexity around cost, security compliance, and data platform stability.
Python, Java, Node.js, .NET, AWS, Azure, Kubernetes, Docker, Snowflake, Airflow, Kafka, PyTorch, and Spark. Actively adopting Azure DevOps and Fabric for pipeline automation and cloud data integration.
Primarily in Mexico, Dominican Republic, Uruguay, Argentina, Chile, Colombia, Brazil, and Peru, with some roles in the United States. Nearshore model enables shared time zones with North American clients.
Production AI systems (RAG pipelines, generative AI solutions, AI agents), MLOps and model deployment infrastructure, data orchestration, cloud CI/CD automation, and new security products. Current challenges include cost optimization, cloud governance, and backend scaling.
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