Senior Data Scientist - NLP

VancouverBcCa
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Company: Conexiom

This position is based in Vancouver, where our headquarters are located, and will require occasional in-person days for team meetings or social events. We also welcome candidates from Kitchener, where we maintain an active office presence.

Key Responsibilities:

Model Development: Design, build, and implement state-of-the-art machine learning models. Model Deployment: Collaborate with Machine Learning and Data Engineers to deploy models into production environments. Algorithm Optimization: Utilize ML/DL/NLP/Computer Vision algorithms to optimize and enhance the performance of our automation platform. Research and Development: Keep abreast of the latest developments in ML and NLP. Evaluate and integrate new methodologies and technologies that can provide a competitive edge to Conexiom’s offerings. Technology Proficiency: Demonstrate in-depth expertise with ML libraries (e.g., pandas, numpy, scikit-learn) and DL frameworks (e.g., TensorFlow, PyTorch, Keras). Experience with Large Language Models (LLM) is highly valued. Innovation and Ownership: Display a demonstrated ability to take ownership of projects with limited guidance and push the boundaries of innovation within the team. At Conexiom, we offer you the chance to be part of a vibrant and forward-thinking company. You will have opportunities for significant career growth, a fun and casual work environment, and the ability to influence our direction and growth. We are committed to diversity and equal opportunity and strongly encourage applications from all talented individuals.

Key Qualifications

Master or Ph.D. in a quantitative field such as Statistics, Applied Mathematics, Physics, Engineering, or Computer Science 2+ years’ experience in delivering ML solutions to Production environments Advanced skills in programming languages (particularly Python) for data collection, preprocessing, modeling, and monitoring Strong expertise in ML/DL/NLP/Computer Vision algorithms, especially in the area of Transformer and with a keen emphasis on NLP techniques Familiarity with various ML libraries like pandas, numpy, scikit-learn, etc. In-depth knowledge of DL frameworks such as TensorFlow, PyTorch, Keras Exposure to Large Language Models (LLM) is a notable advantage Demonstrated ability to take ownership and work with limited guidance Demonstrated ability to work in the Agile development process Experience in Docker and Kubernetes is a plus Experience in Azure a plus Experience building an enterprise class business automation solution a plus

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