Workflow Builder
Nscale is a London-based, full-stack AI cloud and infrastructure company that provides GPU compute, managed AI services, orchestration software, data centers, and power infrastructure for AI training, fine-tuning, and inference.
Funding history
About Nscale
Nscale builds and operates vertically integrated AI infrastructure spanning software, GPU compute, networking, storage, purpose-built data centers, and power. Its active cloud platform offers self-service inference endpoints, fine-tuning, managed Kubernetes and Slurm, virtual machines, and GPU clusters.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will identify, design, build, and roll out data and workflow use cases. You will establish data-platform standards, govern canonical models and ontologies, secure access, integrate operational data, and enable adoption through onboarding, documentation, and self-service tools.
Requirements
- 5+ years of data engineering experience
- Python
- TypeScript
- Palantir Foundry
- Git
- Version control
- Data engineering
- Product development
Responsibilities
- Execute the enterprise data and application-platform roadmap
- Identify, design, build, and roll out workflow use cases
- Scale experimental solutions into production systems
- Support the internal Palantir Center of Excellence
- Implement data ingestion, orchestration, semantic-modeling, and interoperability standards
- Govern canonical data models and ontologies
- Enforce dataset management, version-control, code-quality, and reproducible AI-workflow practices
- Design and operate identity and permissions frameworks
- Integrate development, production, and operational data into an AI data fabric
- Build feedback loops for AI-system performance and reliability
- Deliver data products and drive platform adoption
Benefits
- Equity
- Flexible workplace
- Remote-first work