AI / ML Engineer
Tasks
- Collaborate with stakeholders to deliver feedback and improvements
- Create and document solutions architecture and lessons learned
- Deploy embedded and sentence transformer models in production
- Develop and optimize AI solutions for deployment
- Fine tune large language models with custom content
- Optimize model inference with quantization pruning distillation
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Android | BERT | C# | C++ | CNN | Data Preprocessing | Deep learning | Ensemble learning | GCP | GPT | Git | Inference Optimization | Java | Knowledge Distillation | Language Model | Large Language Model | Linux | Llama | Machine Learning | Model Inference | Model Inference Optimization | NLP | Pruning | PyTorch | Python | Quantization | RAG | RNN | Sentence Transformers | T5 | TensorFlow | Transformer | Windows
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
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