Machine Learning Specialist 47145
Machine Learning Specialist 47145
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1 Vacancy
Job Description
Join our team and what well accomplish together
The AI Accelerator team is on a continuous journey towards helping TELUS become a worldclass leader in data solutions doing so by delivering data analytics capabilities built upon unified scalable platforms advanced AI solutions highquality data and a dataproductoriented 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 technologydriven 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 wed love to talk with you!
Youll be a part of the team and journey that will transform the way we do business across various domains. Youll collaborate with teams across the company seeking out various data sources to help identify new business opportunities while championing datadriven decisionmaking 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 youll 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 endtoend 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 decisionmaking and drive the adoption of a datadriven mindset across the organization by solving business challenges and uncovering new opportunities
- Develop reusable 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 VPlevel 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 longterm 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 TELUSs 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 handson 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. Scikitlearn 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
- Handson 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 nontechnical audiences effectively
- A fastmoving agile approach to removing roadblocks and delivering results quickly
Greattohaves
- 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 startup 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
Required Experience:
Unclear Seniority
Employment Type
Full-Time
