Applied AI ML Engineer - Ottawa, ON
Tasks
- Architect AI agent systems
- Build machine learning pipelines
- Create model evaluation benchmarks
- Develop multi-agent workflows
- Maintain MLOps pipelines
- Optimize model inference performance
- Perform threat detection using deep learning
- Select and fine tune language models
Perks/Benefits
- Employee resource groups
- Health and dental coverage
- Life insurance
- Long-term disability
- Mental health wellness program
- Paid time off
- Parental leave
- Retirement savings match
- Short-term disability
- Telehealth virtual health services
- Tuition assistance
- Wellness incentive program
Skills/Tech-stack
AWS | Apache Spark | Azure | CUDA | GCP | GNN | Generative AI | Git | Graph Neural Networks | Hyperparameter Optimization | Integration Testing | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Machine Learning | Neural Networks | Prompt engineering | Pruning | PySpark | PyTorch | Python | Quantization | RAG | Regularization | Retrieval-Augmented Generation | Series analysis | Statistical Analysis | TensorFlow | TensorRT | Time Series | Time Series Analysis | Unit Testing
Education
Roles
AI/ML Engineer | Applied AI/ML Engineer | Engineer | ML Engineer
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