Senior GenAI Data Scientist (ai)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior GenAI Data Scientist (AI): Designing and building agentic GenAI systems for the automotive industry with an accent on RAG architectures, knowledge integration pipelines, and custom model fine-tuning. Focus on defining evaluation strategies for AI performance and integrating scalable AI solutions into production-ready platforms.
Location: Toronto, ON (Canada)
Salary: CAD 180,000 – CAD 200,000
Company
is Europe’s largest online car marketplace, operating in Canada through its brand Trader Corporation to transform vehicle buying and financing.
What you will do
- Design and build agentic GenAI systems using modern frameworks like LangChain, AutoGen, or Atomic Agents.
- Develop knowledge integration pipelines, including RAG architectures, custom fine-tuning, and vector search.
- Define evaluation strategies, build ground-truth datasets, and implement automated testing for model performance.
- Collaborate with engineering, data, and product teams to integrate AI components into customer-facing platforms.
- Act as a hands-on technical expert, mentoring peers and driving best practices in AI development and MLOps.
- Experiment with new models and architectures to identify and scale high-impact AI opportunities.
Requirements
- Degree in computer science, data science, engineering, or a related field.
- Proven experience building agentic GenAI systems in production environments.
- Strong coding skills in Python and proficiency in robust software engineering practices.
- Practical experience with RAG pipelines, vector databases, embeddings, and fine-tuning.
- Strong understanding of AI development challenges such as monitoring, integration, and model drift.
- Experience deploying AI systems in cloud environments and familiarity with modern ML stacks.
Nice to have
- German language proficiency.
Culture & Benefits
- Comprehensive benefits package available from Day 1.
- Support for professional growth through training programs and conference budgets.
- Financial planning support including pension matching and income protection.
- Employee and Family Assistance program and virtual wellness events.
- Annual bonus structure as part of total rewards.
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