Platform Engineer (Machine Learning)
Tasks
- Build and operate ML infrastructure platforms
- Build and optimize model serving inference infrastructure
- Build platform tooling for faster model experimentation and deployment
- Build production observability monitoring tracing and alerting
- Design model training evaluation deployment inference systems
- Develop data preparation training evaluation and model release pipelines
- Develop evaluation and benchmarking infrastructure
- Identify ML stack bottlenecks and improve performance
- Improve AI reliability scalability latency cost efficiency
- Translate model requirements into production ready infrastructure
Perks/Benefits
- N/A
Skills/Tech-stack
Alerting | Cloud infrastructure | Distributed Systems | GPU | JAX | Machine Learning | Machine Learning Pipelines | Monitoring | Observability | Performance Tuning | PyTorch | Python | Retrieval systems | SGLang | TensorRT-LLM | Tracing | VLLM | Vector Databases | Workflow Orchestration
Education
N/A
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