Senior Machine Learning Engineer
Toronto, ON, CA
TELUS
By choosing TELUS you get access to amazing plans, phones and high-speed internet on Canada's most-awarded network, and help connect Canadians in need.Description
Join our team and what we'll accomplish together
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 Senior Machine Learning Engineer 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
- Collaborate on end-to-end automation efforts required to bring models to production
- Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights
- Visualize and report data findings creatively in a variety of visual formats that provide insights to the organization
- Influence how we approach business challenges and opportunities by driving the adoption of a data-driven mindset
- Develop re-usable code aimed at delivering on future goals faster and more reliably
- Support and evolve the Advanced Analytics and Data Science roadmap by leveraging industry research, best practices and emerging tools/technology
- Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
Qualifications
What you bring
- 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 regression, classification, clustering, time series analysis, NLP, and optimization and bring 4+ 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 advanced 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 strong knowledge in SQL and distributed computing
- 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 agile and have a bias for action, removing roadblocks to get results fast
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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AWS Azure Classification Clustering Computer Science Data Analytics Data Mining Economics Engineering GCP GitHub Jupyter Keras Machine Learning Mathematics ML models NLP NumPy Pandas PhD Pipelines Predictive modeling Python PyTorch Research Scikit-learn SQL Statistics TensorFlow
Perks/benefits: Career development Startup environment
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open Senior Business Intelligence Analyst jobs
- Open MLOps Engineer jobs
- Open Data Engineer II jobs
- Open Data Manager jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Junior Data Scientist jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Product Data Analyst jobs
- Open Business Intelligence Developer jobs
- Open Business Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Big Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Junior Data Engineer jobs
- Open Data Product Manager jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open PyTorch-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open LLMs-related jobs
- Open CI/CD-related jobs
- Open Generative AI-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs