Senior Applied Scientist, Personalization & Agentic Systems
AMER - Canada - Ontario - Toronto - University Ave
CAD 123K-180K Senior-level Full Time
Tasks
- Build and evolve data and feature pipelines for personalization and experimentation
- Design build and operate production grade agentic personalization systems
- Develop and optimize inference services using vLLM and TensorRT
- Evaluate LLM performance and ensure ethical AI practices
- Implement retrieval augmented generation and agent memory
- Monitor and improve deployed models using performance metrics and feedback
- Orchestrate multi step reasoning tool use and decision workflows
- Productionize ML and LLM workflows with orchestration monitoring and iteration
- Research develop and implement ML models for search and recommendation
- Translate research into production systems with cross functional teams
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agent Orchestration | Data Pipelines | Data Warehousing | Deep learning | Event Driven | Event-driven architecture | Experimentation | Feature Engineering | Java | LLM Evaluation | Language Models | Large Language Models | MLOps | Machine Learning | Model Monitoring | Multi-step reasoning | NoSQL | Python | RAG | RDBMS | Retrieval-Augmented Generation | Scalability | Streaming Platforms | System design | TensorRT | Tool use | Transformers | VLLM | Vector Databases
Education
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