Teams at TinyFish

Design, train, and deploy scalable ML models (generative, classification, regression). Define feature roadmaps, collaborate with engineering to implement code and APIs, adapt ML methods for distributed/GPU environments, and create evaluation/annotation programs for fine-tuning and performance measurement.

Build and maintain reproducible data pipelines, experiment orchestration, CI/CD for models, Terraform-based ML infrastructure, observability, security controls, and automation to deploy and operate ML systems in production.

Design, build, and operate secure, compliant AWS environments using Terraform and automation. Build CI/CD pipelines, security automation, observability, and support containerized and serverless workloads. Contribute to ISO 27001/SOC 2 compliance, create developer tooling, and troubleshoot complex platform issues in a distributed team.