Machine Learning Platform Engineer
Tasks
- Build ML infrastructure
- Build evaluation and benchmarking infrastructure
- Create data preparation and training pipelines
- Deploy and operate model inference services
- Design model training and evaluation systems
- Develop model serving and inference infrastructure
- Enable faster experimentation with ML tooling
- Implement production observability monitoring tracing alerting
- Improve reliability scalability latency throughput and cost
Perks/Benefits
- N/A
Skills/Tech-stack
Alerting | Benchmarking | Data Pipelines | Distributed Systems | GPU Computing | JAX | Machine Learning | Model Deployment | Model Evaluation | Model Inference | Monitoring | Observability | PyTorch | Python | Retrieval-Augmented Generation | SGLang | TensorRT | Tracing | VLLM | Vector Databases | Workflow Orchestration
Education
N/A
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