Machine Learning Platform Engineer
Tasks
- Build and operate machine learning infrastructure platforms
- Build evaluation benchmarking infrastructure for model quality and regressions
- Design model training evaluation deployment and inference systems
- Develop data preparation training evaluation and continuous improvement pipelines
- Enable rapid model experimentation evaluation and deployment with platform tooling
- Identify bottlenecks across the machine learning stack and improve performance
- Implement production observability monitoring tracing and alerting for AI workloads
- Improve reliability scalability latency throughput and cost efficiency
- Optimize model serving for high throughput low latency
Perks/Benefits
- N/A
Skills/Tech-stack
Alerting | Data Pipelines | Distributed Systems | GPU infrastructure | Inference | JAX | LLM | Machine Learning | Model Deployment | Model Evaluation | Model Training | Monitoring | Observability | PyTorch | Python | Retrieval-Augmented Generation | TensorRT-LLM | Tracing | VLLM | Vector Databases | Workflow Orchestration
Education
N/A
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