Principal AI/ML Scientist at TELUS leveraging advanced AI solutions to enhance business outcomes. Collaborating on predictive models and influencing strategic decision-making across the organization.
Responsibilities
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
Requirements
Minimum 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
Benefits
Comprehensive total rewards package highlighting competitive salary and bonus structures
Minimum 3 weeks of vacation
Flexible benefits plan to meet the needs of you and your family
Flexibility to work in-office, virtually or a combination of both, based on the role's requirements
Generous company matched pension and share purchase programs
Opportunity to give back to communities in which we work, live and serve
Career growth and learning & development opportunities to develop your skills
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