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Chief AI Innovation Director
1 week ago
Visionaire Partners seeks an exceptional leader to spearhead our AI innovation efforts. As Chief AI Innovation Director, you will drive the development and deployment of cutting-edge machine learning models, collaborating with a talented team of engineers and data scientists.
About the Role
- Serve as the technical lead in defining and refining our modeling approach, balancing traditional machine learning methods with Large Language Models (LLMs) to achieve optimal results.
- Drive architectural decisions for deep learning models, working closely with engineers to ensure scalability, efficiency, and maintainability.
- Lead by example, working hands-on with datasets, EDA, models, and implements in production, spending approximately 90% of your time on direct technical work.
- Mentor team members.
Your Background
- 5+ years' experience in developing and deploying machine learning models.
- 2+ years of technical lead experience.
- Expertise in traditional ML techniques and experience with Large Language Models (LLMs), including hands-on experience with fine-tuning and applying LLMs.
- Advanced knowledge of deep learning architectures and the ability to make architectural decisions that impact performance and scalability.
- Strong proficiency in Python and experience in machine learning libraries and frameworks such as TensorFlow, PyTorch, and Scikit-Learn.
- Ability to translate business problems into structured data science tasks and effectively communicate findings and recommendations.
- Passion for continuous learning and staying current with machine learning and AI advancements.
- Master's or Ph.D. degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field.
What We Offer
- A highly competitive salary range: $200,000 - $300,000 per annum, depending on experience.
- The opportunity to work on innovative AI automation projects at a growing technology firm.
- Fully remote work arrangement, with occasional visits to our office in Vancouver.
- A dynamic and supportive team environment.
We Prefer Candidates Residing in Vancouver Who Can Visit Our Office Occasionally
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