Senior Machine Learning Engineer

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)