Senior Platform Engineer - AI/ML
RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO, Canada
CAD 90K-141K (estimate) Senior-level Full Time
Tasks
- Author scientific papers
- Automate machine learning workflows
- Build machine learning infrastructure
- Collaborate with cross-functional teams
- Deploy machine learning applications
- Design distributed machine learning systems
- Develop machine learning algorithms
- Drive engineering decisions for recommendations
- Implement MLOps orchestration
- Implement hybrid-cloud infrastructure
- Implement machine learning models
- Integrate monitoring for production issues
- Lead research in machine learning and AI
- Maintain DevOps pipelines
- Optimize model performance
- Present findings at conferences
- Translate business needs into technical solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Airflow | Azure | Bash | Code review | Computer Vision | Control Management | Dagster | DevOps | Distributed Systems | Flyte | GitHub Actions | JavaScript | Jenkins | Kubeflow | Kubernetes | MLOps | Machine Learning | Monitoring | PyTorch | Python | Reinforcement Learning | Source Control | Source Control Management | TensorFlow | Testing | Unix | Unsupervised Learning
Education
N/A
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