Development Architect (f/m/d) - AI Foundation Model Training and Serving
Tasks
- Architect distributed training infrastructure
- Architect inference and model serving for multi tenant deployments
- Collaborate with technical product and management stakeholders
- Design AI training evaluation and serving architecture
- Design model lifecycle workflows fine tuning evaluation benchmarking and registries
- Ensure secure policy compliant handling of proprietary datasets
- Guide distributed and federated training implementation
- Implement authentication lineage provenance licensing metadata and data residency
- Optimize serving performance with dynamic batching KV caching and quantization
- Provide technical guidance to delivery teams
Perks/Benefits
Skills/Tech-stack
Artificial Intelligence | Authentication | Benchmarking | Checkpointing | Cluster Orchestration | Cost Optimization | DDP | DPO | Data Lineage | Distillation | Distributed Training | Dynamic batching | Evaluation Pipelines | FSDP | Fault Tolerance | Federated Learning | Fine Tuning | Foundation Models | Graph Data | Inference Serving | KV caching | Knowledge graphs | Latency optimization | Machine Learning | Model Serving | Model registries | Multi-tenant | Multi-tenant architecture | PP | Provenance | Python | Quantization | RLHF | Secure Aggregation | TP | Tenant architecture | VLLM
Education
N/A
Roles
AI | AI Solution Architect | Architect | Software Architect | Solution Architect
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