Discover a career at CGI, where ownership, teamwork, respect and belonging define our culture. Join us in shaping the future, creating value, and, as an owner, turning insights into action.
Your future duties and responsibilities:• Develops and implements machine learning models and algorithms tailored to specific use cases and business objectives.
• Collects, preprocesses, and cleanses large volumes of structured and unstructured data from various sources, ensuring data quality and integrity.
• Engineers relevant features from raw data to improve model performance and accuracy, employing techniques such as feature scaling, transformation, and selection.
• Trains machine learning models using appropriate algorithms and techniques, optimizing hyperparameters to achieve desired performance metrics.
• Evaluates model performance using metrics such as accuracy, precision, recall, F1 score, and ROC curves, iteratively refining models based on feedback and experimentation.
• Deploys trained machine learning models into production environments, ensuring scalability, reliability, and efficiency, and integrating models with existing software systems and workflows.
• Collaborates with cross-functional teams, including data scientists, software engineers, business analysts, and domain experts, to align machine learning initiatives with business objectives.
• Visualizes and interprets model outputs and insights, communicating findings effectively to stakeholders through dashboards, reports, and presentations.
• Stays updated with the latest advancements in machine learning research and techniques, experimenting with new algorithms, libraries, and tools to drive innovation and improve model performance.
• Documents the development process, including methodologies, code, experiments, and results, to ensure reproducibility, knowledge transfer, and compliance with regulatory requirements and data privacy standards."
Use of the term ‘engineering’ in this job posting refers to the technical sense related to Information Technology (IT) and does not imply that the individual practices engineering or possesses the requisite license as prescribed by the applicable provincial or territorial engineering regulator. We are seeking individuals with expertise in IT engineering-related functions, but licensure from an engineering regulator is not a prerequisite for this position. Engineering is a regulated profession in Canada which is restricted in terms of use of titles and designation.
Skills: Algorithm Engineering What you can expect from us:Together, as owners, let’s turn meaningful insights into action.
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.
Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
At CGI, we recognize the richness that diversity brings. We strive to create a work culture where all belong and collaborate with clients in building more inclusive communities. As an equal-opportunity employer, we want to empower all our members to succeed and grow. If you require an accommodation at any point during the recruitment process, please let us know. We will be happy to assist.
Come join our team—one of the largest IT and business consulting services firms in the world.