Lead AI/ML Engineer
RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO, Canada
CAD 90K-140K (estimate) Senior-level Full Time
Tasks
- Architect scalable production solutions on Kubernetes
- Automate incident management workflows to reduce toil
- Build ML monitoring and alerting systems
- Design and implement agentic AI incident resolution systems
- Develop intelligent automation frameworks for anomaly detection
- Establish KPIs for MTTR MTTD MTTI
- Implement Infrastructure-as-Code using Ansible
- Lead technical design discussions and architecture decisions
Perks/Benefits
- Career development opportunities
- Coaching and Mentorship
- Dynamic collaborative team
- Flexible work life balance options
- World class training program
Skills/Tech-stack
Agent systems | Ansible | Autogen | CrewAI | Docker | ELK | Grafana | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | Machine Learning | Model Context Protocol | Multi-Agent | Multi-Agent Systems | OpenShift | PagerDuty | Prometheus | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | Scikit-learn | ServiceNow | TensorFlow | Terraform
Education
N/A
Roles
AI Engineer | Engineer | Lead | Lead AI Engineer | Learning Engineer | Machine Learning Engineer
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