Senior/Lead Data Scientist (Toronto time zone)
- Рівень:
- senior
- Джерело:
- djinni.co
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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