Staff AI Engineer
Tasks
- Build CI CD pipelines for ML systems
- Conduct root cause analysis and implement durable fixes
- Create infrastructure as code for ML systems
- Deploy and operate production AI systems
- Implement monitoring, alerting, logging, dashboards
- Integrate LLMs generative AI and NLP solutions
- Lead ML system design and architecture
- Manage containerized production environments
- Manage model retraining drift detection and retirement
- Mentor engineers and enforce technical standards
- Optimize inference services performance scalability reliability and cost
- Own end-to-end ML lifecycle
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Alerting | Amazon SageMaker | Azure | CI/CD | DevOps | Distributed Systems | Docker | Elasticsearch | Embeddings | Generative AI | Hugging Face | Infrastructure as Code | Java | Kubeflow | Kubernetes | LLMs | Logging | MLOps | MLflow | Machine Learning | Monitoring | NLP | Observability | PyTorch | Python | TensorFlow | Tokenization | Vector Databases | “as-code”
Education
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