Machine Learning Platform Engineer
Tasks
- Build ML infrastructure platforms
- Build data preparation training evaluation pipelines
- Build experimentation tooling for ML teams
- Create evaluation benchmarking and regression detection
- Deploy machine learning models to production
- Design model training and evaluation systems
- Implement observability monitoring tracing alerting
- Improve reliability scalability latency throughput cost
- Operate inference and model serving systems
- Optimize distributed systems performance
Perks/Benefits
- N/A
Skills/Tech-stack
Alerting | Benchmarking | Data Pipelines | Distributed Systems | GPU Computing | JAX | LLM | Logging | Machine Learning | Model Deployment | Model Inference | Monitoring | PyTorch | Python | Retrieval-Augmented Generation | System Reliability | TensorRT | Tracing | VLLM | Vector Databases | Workflow Orchestration
Education
N/A
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