AI & Edge Computing Engineer
Tasks
- Analyze system performance and bottlenecks
- Benchmark AI models on edge hardware
- Build agentic AI frameworks
- Debug AI edge deployment issues
- Deploy AI solutions to production environments
- Design AI solutions
- Develop embeddings and LLM systems
- Develop model optimization pipelines
- Document technical designs and research findings
- Evaluate retrieval and embedding techniques
- Implement quantum inspired optimization
- Integrate AI with physical systems
- Optimize and compress AI models
- Perform code reviews
- Translate requirements into AI and edge solutions
- Validate model performance and reliability
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | Artificial Intelligence | CUDA | Deep learning | Edge Computing | Embedded Systems | Embeddings | IoT | Language Models | Large Language Models | Machine Learning | Model Compression | Model Optimization | PyTorch | Python | Quantization | Retrieval systems | TensorFlow
Education
Roles
AI | AI Engineer | Computing Engineer | Edge Computing Engineer | Engineer
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