AI / ML Engineer
Tasks
- Build agentic workflows for autonomous AI systems
- Collaborate on end to end ML NLP systems
- Create and maintain version control workflows
- Deploy machine learning models in production
- Develop and optimize AI solutions
- Document AI solutions architecture and lessons learned
- Fine-tune large language models
- Implement RAG and sentence transformer workflows
- Optimize model inference with quantization pruning distillation
- Preprocess data and create data representations
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Android | BERT | C# | C++ | CNN | Cloud Computing | Data Preprocessing | Deep learning | Edge AI | Ensemble Methods | GCP | GPT | Ggml | Git | Inference Optimization | Java | Knowledge Distillation | Language Models | Language Processing | Large Language Models | Linux | Llama | Machine Learning | Model Inference | Model Inference Optimization | NLP | NPU | Natural Language | Natural Language Processing | Open Source | Pruning | PyTorch | Python | Quantization | RAG | RNN | Sentence Transformers | T5 | TensorFlow | Transformers | Windows
Education
Bachelor of Engineering | Bachelor of Science | Master of Engineering | Master of Science | PhD
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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