Cloud-Native Backend & MLOps for Professional Services in South America
High-performance backends and the MLOps to deploy, monitor, and retrain models in production — for SaaS, AI products, and real-time data platforms. For professional services teams, delivered to South America.
Professional Services teams in South America need cloud-native backend & mlops engineered for their constraints and shipped on their calendar. High-performance backends and the MLOps to deploy, monitor, and retrain models in production — for SaaS, AI products, and real-time data platforms. Aligned to overlapping Americas working hours.
Operations run on email and spreadsheets. Scheduling, proposals, and client comms eat non-billable hours, and scaling means hiring more admins.
- 01Architect services and the ML lifecycle around real load and SLAs.
- 02Prototype deployment and monitoring before scaling.
- 03Forge microservices, pipelines, and IaC.
- 04Harden with A/B deployment, drift monitoring, and retraining.
- Microservices (Go, Rust, Node.js, .NET)
- Serverless & container orchestration (K8s, Nomad)
- CI/CD (GitHub Actions, GitLab CI, ArgoCD)
- MLOps: deployment, A/B, monitoring, drift
- Data engineering (feature stores, ETL)
- Infrastructure as Code (Terraform, Pulumi)
- Real-time event streaming
- Event-driven architecture
What you can expect
Questions, answered straight
Yes. Agency tools, scheduling platforms, and proposal systems that automate operations so you can scale billable work. Aligned to overlapping Americas working hours.