The AI Accelerator team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI solutions, high-quality data, and a data-product-oriented culture while always keeping an eye on the horizon, preparing for the next big thing. We are entrepreneurial and live by our AI Manifesto of failing fast and being outcome vs technology-driven, creating value for our customers, team members, communities, and the environment. The team takes pride in our Artificial Intelligence and Machine Learning capabilities and takes ownership of each step of the process. From hypothesis generation, initial exploring of datasets, developing novel AI techniques to discover insights, to developing automation pipelines and web visualizations, we do it all!
Always wanted to work with a team of innovators touching all business units within TELUS, and be part of a culture that embraces creativity and collaboration? If so, we’d love to talk with you!
You’ll be a part of the team and journey that will transform the way we do business across various domains. You’ll collaborate with teams across the company, seeking out various data sources to help identify new business opportunities while championing data-driven decision-making and the accelerated adoption of AI. As a Machine Learning Specialist on the team, you will combine your expert knowledge of data science with your strong ML Ops and software development skills to automate and facilitate data exploration, analytics, machine learning model development, training and deployment and will leverage your experience in building reusable algorithms, functions and libraries.
What you'll do
Lead the iterative development, validation, and deployment of AI/ML models across the organization, ensuring continuous improvement and scalability
Drive the development and deployment of Generative AI applications, tools, and frameworks that solve critical business challenges
Collaborate on end-to-end automation efforts required to bring machine learning models to production, ensuring smooth deployment and operationalization
Work with both structured and unstructured data to design, develop, and deploy innovative predictive models, metrics, and dashboards that deliver actionable insights
Visualize and report findings creatively through various formats (e.g., dashboards, interactive reports) to ensure insights are easily understood and actionable for stakeholders at all levels
Influence strategic decision-making and drive the adoption of a data-driven mindset across the organization by solving business challenges and uncovering new opportunities
Develop re-usable code and solutions to accelerate future goals and deliver results faster and more reliably
Support the evolution of Data science and AI products by influencing product roadmap through prioritizing features to meet business needs, recommending latest industry research, tools and best practices
Build and maintain strong engagement with key stakeholders, understanding their business needs and priorities, and presenting AI/ML initiatives to VP-level executives and beyond
Serve as a functional leader of AI/ML across the company, providing technical leadership for the overall AI/ML program and collaborating with broader business units to scale AI/ML solutions
Establish best practices for ML model deployment and production, ensuring models are scalable, reliable, and optimized for long-term success
Represent the company as a thought leader in the AI/ML space, presenting at conferences, publishing papers, and engaging with external forums to build TELUS's reputation as a global leader in data science and AI
Coach and mentor a growing team of data scientists and engineers, fostering a culture of continuous learning and innovation, and identifying future leaders within the organization
What you bring
Minimum 7- 10 years of hands-on experience in machine learning, AI, and data analysis including deployment of solutions in business workflows
Strong expertise in Python and experience with data science libraries (e.g., Scikit-learn, Pandas, Numpy)
Solid background in machine learning algorithms, including regression, classification, clustering, time series analysis, Reinforcement learning and optimization
Experience building and deploying GenAI applications and workflows
Proficiency in SQL and distributed computing
Hands-on experience with cloud platforms such as GCP, AWS, or Azure
Expertise in machine learning frameworks such as TensorFlow, Pytorch, and Keras
Strong understanding of software and AI development lifecycles, with experience in DevOps and MLOps practices
Understanding of version control systems (e.g., Git) for collaborative development
Ability to communicate complex technical concepts to non-technical audiences effectively
A fast-moving, agile approach to removing roadblocks and delivering results quickly
Great-to-haves
Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, Engineering, or Data Science
Experience with agile methodology and work in a start-up environment
GCP or other cloud certifications
10+ years of experience in Data Science; at least 5 years of experience in independently leading projects/modeling; at least 2 years leading a major functional area
Knowledge of change management practice to advance the adoption of technology solutions in the business workflow
Advanced knowledge of English is required because you will most of the time interact in English with external parties (clients, suppliers, candidates, external partners, etc.); interact in English with internal parties (colleagues, internal partners, stakeholders, etc.); and work with IT tools whose interface is only accessible in English as part of this position's main responsibilities given its international scope.