AI Engineer
Tasks
- Analyze training data
- Apply research to real-world problems
- Build data pipelines
- Conduct model experiments
- Deploy AI models
- Design AI system components
- Design machine learning models
- Develop deep learning models
- Evaluate model performance
- Improve model scalability
- Integrate AI models into customer applications
- Iterate models for performance
- Optimize model performance
- Participate in code reviews
- Preprocess training data
- Train machine learning models
Perks/Benefits
- Dental insurance
- Flexible work hours
- Gym subsidy
- Health insurance
- Paid sick days
- RRSP
- Vision insurance
Skills/Tech-stack
AWS | Azure | Data Preprocessing | Deep learning | GCP | Knowledge Distillation | LLM | Langchain | Machine Learning | Model Evaluation | Model Quantization | Model Training | NumPy | OpenCV | Pinecone | PyTorch | Python | Scalability | SciPy | Scikit-learn | Vector Database
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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