Machine Learning Engineer IV
Tasks
- Build batch-processing pipelines
- Build real time inference services
- Design production ML systems
- Develop model serving workflows
- Evaluate model quality accuracy latency reliability cost
- Fine-tune transformer-based models
- Implement RAG embeddings prompt systems document ingestion agent workflows
- Mentor junior engineers
- Monitor and improve deployed models
- Productionize ML and LLM services with reliability observability security cost controls
Perks/Benefits
Skills/Tech-stack
APIs | Batch Processing | Cost Optimization | Distributed Systems | Embeddings | Evaluation Frameworks | Information Retrieval | Language Models | Language Processing | Large Language Models | Machine Learning | Model Serving | Monitoring | Natural Language | Natural Language Processing | Observability | Python | RAG | Real Time | Real-time Inference | Security | Small Language Models | Text Classification | Transformers
Education
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