DescriptionOur 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 learning models and algorithms for real-world applications
- Strong programming skills in Python and experience with popular machine learning libraries such as TensorFlow, PyTorch and scikit-learn
- Solid understanding of statistical analysis, data mining, predictive modeling and Natural Language Processing techniques
- Strong experience with data preprocessing, feature engineering, and dimensionality reduction techniques
- Proficiency in Google cloud platform and distributed computing frameworks, Oracle, SQL and working with relational databases
- Strong problem-solving skills and the ability to think critically and analytically
- Excellent communication and presentation skills, with the ability to effectively communicate complex concepts to diverse stakeholders
- Experience in leading and mentoring a team of data scientists is a plus
Join our team and contribute to the development of cutting-edge machine learning projects that will drive customer retention, segmentation, and sales increase. Apply now and be part of our data-driven journey towards success!
Salary Range: $86,000-$136,000
Performance Bonus or Sales Incentive Plan: 15%
Actual total compensation will be determined based on factors such as knowledge, skills, performance and experience. We encourage all qualified candidates to apply, even if the posted salary range doesn't match your expectations. We're open to discussing competitive compensation packages tailored to your experience level and expertise. TELUS offers rewarding benefits, which may vary per job function, such as:
- Comprehensive total rewards package highlighting competitive salary and bonus structures, minimum 3 weeks of vacation, and 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
- And much more ...
Job Type: This is for a current vacancy
Note for Quebec candidates: if knowledge of English is required for this position, it is because the team member will be asked, on a regular basis, to interact in English with external or internal parties or to use English applications or software as part of their tasks.
Technology SolutionsWe're into seeing where technology can take us, so if you have ever imagined what the future of supply chain management, cybersecurity, the cloud and Internet of Things will look like, we want you to be part of the team that makes it happen.
