Lead Data Scientist
REQUIRED SKILLS :
- 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.
RESPONSIBILITIES :
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.This opportunity is a direct hire position. You can live anywhere and work 100% remotely. We prefer candidates residing in Vancouver who can visit the office once or twice for essential meetings. This is an exciting opportunity to work on innovative AI automation projects at a growing technology firm.