Machine Learning Platform Engineer
Tasks
- Build ML infrastructure and platforms
- Build model serving infrastructure
- Create ML data pipelines
- Deploy and run model inference
- Design training and evaluation systems
- Develop benchmarking and evaluation infrastructure
- Implement production observability monitoring and alerting
- Improve reliability scalability latency and cost efficiency
- Optimize distributed system performance
- Support model release and continuous improvement
Perks/Benefits
- N/A
Skills/Tech-stack
Alerting | Data Pipelines | Distributed Systems | Inference | JAX | Machine Learning | Model Deployment | Model Evaluation | Model Training | Monitoring | Observability | PyTorch | Python | Retrieval-Augmented Generation | TensorRT | Tracing | VLLM | Vector Databases | Workflow Orchestration
Education
N/A
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