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Intermediate Machine Learning Engineer

Vancouver, BC
Full Time
5 days ago

Join our team

The Data Strategy & Enablement 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 tooling, high quality data, and a data-product and data platform oriented culture while always keeping an eye on the horizon, preparing for the next big thing.
We are entrepreneurial and passionate, believers that so much more is possible and can be achieved by creating value and great outcomes for our customers, team members, communities, and environment and that through meaningful transformation we can integrate dynamic change in our professional lives.

Here's the impact you'll make and what we'll accomplish together

The Wireless Service Analytics & Transformation (WSAT) team's goal is to enable best-in-class wireless experience by developing a customer centric view of service performance and enhancing business insights by leveraging advanced analytics and artificial Intelligence. Together, we will develop customer centric models to predict and prevent service degradation, discover new cost reduction/capital efficiency opportunities and model network experience.

As a skilled wireless Intermediate Machine Learning Engineer you will combine your experience in software engineering and data science and analytics to build models that will help us identify areas to be worked on to improve the overall wireless network experience for our customers.

The team takes pride in the Artificial Intelligence and Machine Learning models and solutions they develop and deploy and take ownership of each step of the process. From the initial exploring of datasets, developing of novel AI techniques to discover insights, to developing automation pipelines and web-visualizations, they do it all!

Here's how
    •Lead the development and implementation of ML & AI and Big Data solutions related to service experience
    •Support and evolve the Advanced Analytics and Data Management roadmap by leveraging industry research, best practices and emerging tools/technology
    •Execute, oversee, and evolve models and algorithms selection to deliver solutions that are relevant and facilitate decision-making
    •Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
    •Identify opportunities for process/model optimization and refine to improve effectiveness/accuracy and enhance ROI
    •Collaborate with Data Scientists and Data Engineers within TELUS as well as external Data Science communities


You're the missing piece of the puzzle
    •You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics and other advanced analytical techniques in which you have previous hands-on work experience
    •You are sought out for your skills in Machine Learning and AI, including classification, clustering, time series analysis, NLP, demand forecasting and optimization and bring 5 or more years of hands-on work and practical business experience in the above areas
    •You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences
    •You have solid development experience with Python and you are comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, Pytorch, Keras and have applied these skills towards solving actual business matters.
    •You are comfortable in and with a Jupyter environment and infrastructure, and familiar with GitHub
    •You possess advanced knowledge in SQL
    •You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
    •You are well versed in software and AI development lifecycles, including ML Ops
    •You are a collaborative, creative, open-minded individual who possesses a natural curiosity and desire to experiment with novel algorithms and technologies to perform hypothesis testing and validation, and develop ML-driven models through an iterative approach

    •Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, or Data Science
    •Data visualization experience: Data Studio, Tableau, PowerBI, Domo
    •Data environments experience: MS SQL, Big Query
    •Experience with agile methodology and team-based software development workflows (e.g. JIRA)

Who is TELUS?

We're a high-performing team of individuals who collectively make TELUS one of the leading telecommunications companies in Canada. Our competitive consumer offerings include wireline, wireless, internet and Optik TV™. We also deliver a compelling range of products and services for small, medium and large businesses; and have carved out a leadership position in the health, energy, finance and public sector markets with innovative industry specific solutions.

Everyone belongs at TELUS. It doesn't matter who you are, what you do or how you do it, at TELUS, your unique contribution and talents will be valued and respected. Because the more diverse perspectives we have the more likely we are to crack the code on what our customers want and our communities need.

Do you share our passion?

At TELUS, you create future friendly® possibilities.

At TELUS, we are committed to diversity and equitable access to employment opportunities based on ability.
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