Applied AI ML Engineer - Ottawa, ON
Tasks
- Analyze cybersecurity threats with deep learning time series and graph neural networks
- Architect AI agent architectures
- Build end-to-end machine learning pipelines
- Create automated evaluation frameworks and benchmarks
- Deploy machine learning models in production
- Develop multi-agent workflows
- Manage MLOps model lifecycle pipelines
- Optimize model inference with quantization pruning
- Select fine tune large language models
Perks/Benefits
- Annual holidays
- Critical illness insurance
- Employee resource groups
- Health and dental coverage
- Life insurance
- Long-term disability
- Mental health wellness program
- Paid time off
- Prepartum maternity parental and medical leave
- Retirement savings with company match
- Short-term disability
- Telehealth virtual health services
- Tuition assistance
- Wellness incentive program
Skills/Tech-stack
AWS | Agent systems | Apache Spark | Azure | CUDA | CUDA kernel | Cloud platform | Deep learning | Git | Google Cloud | Google Cloud Platform | Hyperparameter Optimization | Integration Testing | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Machine Learning | Multi-Agent | Multi-Agent Systems | Prompt engineering | Pruning | PySpark | PyTorch | Python | Quantization | RAG | Retrieval-Augmented Generation | TensorFlow | TensorRT | Unit Testing | Version control
Education
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