Machine Learning Engineer IV
Tasks
- Build batch-processing pipelines
- Build real time inference services
- Create model evaluation frameworks
- Design production machine learning systems
- Develop RAG and embeddings systems
- Develop model serving workflows
- Ensure reliability security and cost controls
- Evaluate model quality
- Fine-tune transformer models
- Implement monitoring and observability
- Mentor junior engineers
- Productionize ML and LLM services
Perks/Benefits
- Bonuses
- Disability insurance
- Life insurance
- Paid parental leave
- Paid time off
- Private medical insurance
Skills/Tech-stack
APIs | Batch Processing | Cloud deployment | Cost Optimization | Distributed Systems | Embeddings | Evaluation | Language Models | Language Processing | Large Language Models | Machine Learning | Model Serving | Monitoring | Natural Language | Natural Language Processing | Observability | Python | Real Time | Real-time Inference | Retrieval-Augmented Generation | Security | Text Classification | Transformers
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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