Principal AI Engineer
Tasks
- Architect AI solutions for scalability reliability and security
- Define AI platform technical direction
- Design build and operate production AI systems
- Develop streaming and batch data pipelines for AI
- Implement MLOps model versioning deployment monitoring evaluation and lifecycle management
- Lead AI architecture decisions
- Mentor senior engineers and data scientists
- Optimize model inference for large scale
- Translate business requirements into AI architectures
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | BERT | Batch Processing | Cloud Native | Cloud Native Architecture | Data Inference Optimization | Data Processing | Data inference | Deep learning | GCP | GPT | Generative AI | Inference Optimization | Lifecycle Management | MLOps | Machine Learning | Model Deployment | Model Evaluation | Model Lifecycle | Model Lifecycle Management | Model Monitoring | Model versioning | NLP | PyTorch | Python | Streaming Data | Streaming data processing | System Architecture | TensorFlow | Transformers
Education
N/A
Roles
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