Applied AI ML Engineer - Ottawa, ON
Tasks
- Architect AI agent architectures
- Build multi-agent workflows
- Create evaluation frameworks and performance benchmarks
- Implement MLOps infrastructure
- Manage end-to-end machine learning pipelines
- Optimize model inference performance
- Perform cybersecurity threat detection using ML
- Select and fine-tune large language models
Perks/Benefits
- Critical illness insurance
- Employee resource groups
- Health and dental coverage
- Life insurance
- Long-term disability
- Mental health wellness program
- Paid parental leave
- Paid time off
- Retirement savings program with company match
- Short-term disability
- Telehealth virtual health services
- Tuition assistance
- Wellness incentive program
Skills/Tech-stack
AWS | Apache Spark | Azure | CUDA | Cloud platform | Code review | GNN | Generative AI | Git | Google Cloud | Google Cloud Platform | Graph Neural Networks | Hyperparameter Optimization | Integration Testing | Langchain | Langgraph | Language Models | Large Language Models | MITRE ATT&CK | MLOps | Machine Learning | NIST CSF | Neural Networks | Prompt engineering | Pruning | PySpark | PyTorch | Python | Quantization | RAG | Retrieval-Augmented Generation | Series analysis | Small Language Models | TensorFlow | TensorRT | Time Series | Time Series Analysis | Unit Testing | Version control
Education
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