AI Engineer
Tasks
- Build automated model training validation and monitoring
- Conduct root cause analyses
- Create and maintain feature pipelines
- Deploy AI applications
- Develop scalable reproducible research frameworks
- Drive end to end AI infrastructure development
- Integrate AI and machine learning into business use cases
- Manage feature stores and model stores
- Optimize GPU and CPU resource usage
- Select integrate and optimize AI and ML frameworks
- Troubleshoot performance bottlenecks
Perks/Benefits
- N/A
Skills/Tech-stack
AIOps | Artificial Intelligence | CPU Optimization | Feature Engineering | Feature Stores | Fine Tuning | GPU Optimization | Language Models | Large Language Models | MLOps | Machine Learning | Model Fine-tuning | Model Stores | ONNX | PyTorch | Python | Retrieval-Augmented Generation | TensorFlow | TensorRT
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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