LLMOP's Enginner
Tasks
- Design ML pipelines for training evaluation deployment
- Develop CI/CD pipelines for ML workflows
- Implement monitoring and logging for ML models
- Monitor LLM performance user interaction efficacy
- Operationalize ML models with serving frameworks
- Optimize ML infrastructure performance scalability cost efficiency
- Run bias audits and guardrails monitoring
- Support LLM operations incident management user support
Perks/Benefits
- Career growth
- Hybrid work arrangements
- Professional development
- Training programmes
- Work-life balance
Skills/Tech-stack
Bias Audit | CI/CD | Language Models | Large Language Models | Logging | MLOps | Machine Learning | Machine Learning Infrastructure | Monitoring | TensorFlow Serving | Torchserve
Education
N/A
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