Senior Machine Learning Engineer
Toronto, ON, CA, M5J 2V5 Saskatoon, SK, CA Ottawa, ON, CA Winnipeg, MB, CA Edmonton, AB, CA Vancouver, BC, CA Calgary, AB, CA
Description
Join TELUS and be part of a forward-thinking, innovative team that's reshaping how we understand and connect with our customers. As a Senior Machine Learning Engineering Consultant, you’ll work alongside talented Data Scientists, Data Engineers, and Strategists to develop and deploy cutting-edge AI solutions. Your expertise in Machine Learning, LLMs, and production-grade AI systems will directly influence the strategic direction and performance of TELUS' Marketing, Strategy & Data Insights team across our Home Solutions and Mobility business units.
In this role, you’ll have the opportunity to:
● Work on high-value, high-visibility projects that directly impact business outcomes.
● Thrive in a flexible work environment, balancing in-office collaboration and remote work.
● Continuously advance your skills with progressive training, development tools, and support from a team that values your growth.
What You’ll Do
● Shape and evolve the team roadmap by leveraging cutting-edge industry research, emerging tools, and best practices in LLMs and AI technologies.
● Design, develop, and deploy ML systems that meet production requirements and deliver business value.
● Select and optimize datasets, feature engineering processes, and data representation methods to enhance model performance.
● Manage and refine end-to-end ML pipelines, overseeing algorithm selection, production deployment, and continuous improvement to maximize ROI.
● Collaborate with internal stakeholders to identify business needs and design impactful, data-driven solutions.
● Partner with Data Scientists, Engineers, and external Data Science communities to develop innovative, scalable AI products.
● Communicate complex insights clearly and concisely to Director-level stakeholders, translating technical findings into actionable business strategies.
● Continuously monitor and refine AI models and processes for optimization, accuracy, and business impact.
Qualifications
What You Bring:
● 5+ years of experience in data-focused roles, with a strong emphasis on ML/LLMs.
● Hands-on experience with ML/LLM frameworks, platforms, and tools, especially on Google Cloud Platform (GCP).
● Proficiency in Python development with experience using GitHub and other version control tools.
● Solid understanding of the AI and software development lifecycle, from prototyping to production deployment.
● Ability to translate technical concepts into clear, actionable insights for non-technical audiences.
● A collaborative, innovative mindset with a natural curiosity and eagerness to experiment with new technologies.
● Exceptional communication skills to engage with stakeholders, define advanced data science requirements, and deliver impactful presentations.
Great-to-Haves:
● A Master’s degree in a quantitative field such as Mathematics, Statistics, Computer Science, or Data Science.
● Google Professional ML Engineering Certification or equivalent credentials.
● Familiarity with LLM tools such as Gemini, Hugging Face Transformers, Langchain etc.
● Data visualization expertise with tools like Looker, Tableau, or Power BI.
● Experience with Pulumi and working in agile environments and team-based software development workflows (e.g., JIRA, Monday.com).