Senior Machine Learning Engineer
Tasks
- Build agent runtime infrastructure
- Build high throughput inference pipelines
- Build tool execution layer
- Design ML workflows for customization serving and lifecycle
- Develop memory systems
- Develop model evaluation frameworks
- Implement deployment monitoring observability and incident response
- Implement sandboxed execution
- Route models based on cost constraints
- Ship production code with sub second orchestration latency
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | AWS | Azure | Cloud Platforms | Context engineering | Deployment | Elasticsearch | Evaluation | Fine Tuning | JAX | Java | JavaScript | LLM Applications | LLM Fine-tuning | Learning operations | ML Ops | Machine Learning | Machine Learning Operations | Microservices | Monitoring | Observability | Postgres | Prompt engineering | PyTorch | Python | RAG | Redis | Retrieval-Augmented Generation | Snowflake | TensorFlow
Education
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