Lead AI/ML Engineer, (Global Security)
16 YORK ST:TORONTO, Canada
CAD 90K-141K (estimate) Senior-level Full Time
Tasks
- Architect AI agent solutions
- Automate risk audit and cybersecurity processes
- Build and optimize data pipelines
- Collaborate mentor and document for stakeholders
- Design and orchestrate autonomous agent workflows
- Develop SDKs APIs and reusable components
- Develop and deploy LLM and RAG systems
- Engineer context engineering pipelines
- Implement AI safety privacy and compliance guardrails
- Integrate AI with enterprise systems
- Lead LLM delivery end to end
- Monitor models and ensure secure deployment
Perks/Benefits
- Bonuses
- Flexible benefits
- Leadership coaching
- Professional development opportunities
- Stock options
- World class training program
Skills/Tech-stack
AWS | Airflow | Argo CD | Autogen | Azure | CI/CD | CrewAI | Databricks | DeepSpeed | Docker | Faiss | FastAPI | GRPC | Generative AI | GitHub Actions | Go | Grafana | GraphQL | Huggingface | Java | Jenkins | Kafka | Kinesis | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | LoRA | MLOps | Machine Learning | Milvus | MongoDB | ONNX | OpenTelemetry | PEFT | PGVector | Pinecone | PostgreSQL | Prometheus | Python | RAG | REST | Ray | SQL | SageMaker | Semantic Kernel | Semantic Segmentation | Spark | Triton | TypeScript | Vector Search
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
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