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Senior/Lead Data Scientist (Toronto time zone)

Рівень:
senior
Джерело:
djinni.co
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Що робити

  • Own ML and GenAI systems end-to-end in production, including problem framing, system design, deployment, monitoring, and continuous improvement.
  • Make sound architectural and methodological decisions for ML systems on AWS, balancing robustness, observability, cost, and long-term maintainability.
  • Partner closely with Product, Engineering, and Business leaders to turn ambiguous problems into ML-enabled product solutions with clear outcomes.
  • Operate and evolve ML systems deployed across multiple countries and markets, accounting for differences in data distributions, regulations, and constraints.
  • Mentor other data scientists through hands-on technical guidance, design reviews, and shared ownership of systems.

Що очікуємо

  • 5+ years of experience building and owning production ML systems end-to-end in a real-world environment.
  • Advanced degree in Computer Science, Engineering, Mathematics, or a comparable field.
  • Strong hands-on expertise in Python and modern ML frameworks, with the ability to ship, operate, and evolve ML systems in production.
  • Solid experience with AWS and MLOps practices, including deployment, monitoring, and operating ML systems at scale.
  • Practical experience applying GenAI / LLMs in applied or production contexts, with a clear understanding of trade-offs and limitations.

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