Principal Machine Learning Engineer
Tasks
- Architect APIs and product backend for generative models
- Conduct emerging inference and MLOps evaluations
- Design multi tenant model serving pipelines
- Develop GPU accelerated inference pipelines
- Drive cross functional roadmap alignment
- Integrate first party and third party generative models
- Lead design reviews and set technical standards
- Lead technical direction across engineering teams
- Optimize inference performance latency throughput and cost
- Set inference architecture
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | CUDA | Diffusion Models | Distributed Systems | GPU scheduling | Kubernetes | LLM | MLOps | Machine Learning | PyTorch | Python | Quantization | RAG | Retrieval-Augmented Generation | TensorRT | Transformers | Triton
Education
Regions
Countries
States
Cities
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