Salary
💰 CA$111,000 - CA$200,000 per year
About the role
- Join Data & Analytics team to work with global clients in finance, healthcare, and beyond.
- Perform rapidly prototype and iterate on machine learning models
- Work with supervised, unsupervised, and reinforcement learning
- Work with domain specific modelling challenges (e.g., LLMs, computer vision, time series)
- Fine-tuning LLM models
- Work closely with cross-functional colleagues
- Monitor and analyze the performance of models in production, and propose and implement improvements
Requirements
- 5+ years of practical experience as a Data Science Engineer
- Strong hands-on knowledge of Large Language Models (LLMs) and frameworks such as LangChain, LangGraph, LangFlow, RAG pipelines.
- Deep understanding of conversational AI principles, including dialog management, fine-tuning, and model evaluation
- Strong communication skills with the ability to explain technical concepts to non-technical stakeholders
- Close cooperation with a customer
- Challenging tasks
- Competence development
- Ability to influence project technologies
- Team of professionals
- Dynamic environment with low level of bureaucracy
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningsupervised learningunsupervised learningreinforcement learningLarge Language Modelsdialog managementmodel evaluationfine-tuningLangChainLangGraph
Soft skills
strong communication skillsability to explain technical concepts