Maxinsights is seeking a Senior ML Infra Engineer to build and evolve systems that support model training, deployment, and production usage. The role focuses on enhancing production-quality ML systems, ensuring reliability, scalability, and usability for the team.
Responsibilities:
- Design, build, and evolve infrastructure for ML training workflows, training deployment, experiment execution, and production handoff
- Build and maintain deployment paths for models, jobs, services, and supporting infrastructure across development and production environments
- Improve reliability, scalability, observability, and developer experience for ML workflows and platform tools
- Define interfaces, automation, metadata, artifacts, configuration, environment management, and lifecycle boundaries for ML systems
- Collaborate with research, product, data, and engineering partners to translate incomplete ML workflow needs into maintainable systems
- Support production usage by building clear operational tooling, debugging paths, and safe rollout mechanisms