L4 Technical Professional

TELUS • Edmonton, AB

6d

About The Position

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. 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!

Requirements

• 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

Nice To Haves

• Experience in leading and mentoring a team of data scientists is a plus

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior