L4 Technical Professional

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

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Company

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

L4 Technical Professional Work Location Province Quebec|Ontario|Alberta|British Columbia Description Our team and what we'll accomplish together: Our TELUS Advanced Data and Analytics team is seeking highly experienced and accomplished ML Engineer to join our team. In this position, you will be responsible for leading the development and maintenance of machine learning pipelines, including continuous integration, continuous monitoring and continuous deployment of ML models. You will work closely with a team of data scientists and data engineers to deploy solutions and drive innovation using machine learning and NLP techniques. The ideal candidate has a deep understanding of data analysis, Cloud engineering, machine learning, NLP techniques, along with a proven track record of delivering impactful insights and solutions. Responsibilities: Develop and implement machine learning algorithms and models Analyze and interpret large data sets to identify trends and patterns Design and implement scalable and automated pipelines for model training, testing, and deployment Collaborate with data scientists and software engineers to integrate models into production systems Monitor model performance and implement strategies for model retraining and optimization Implement best practices for version control, model tracking, and model governance Ensure the security and compliance of machine learning systems Qualifications Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field Proven experience +5 years in developing and implementing machine lear

Read the full description at careers.telus.com. FewerJobs shows a preview and links to the original posting.