FALL NEXTGEN WOMEN IN STEM EXCEL (WISE) CO-OP PROGRAM: AI ANALYST (8 MONTHS)

Position Description.
Women in STEM Excel (WiSE) Co-op Program At CGI we are committed to investing in the next generation of women leaders.
Diversity of thought and experience are integral to pushing the boundaries of emerging technologies.
Join our WiSE (Women in STEM Excel) co-op program designed specifically to prepare and equip future women leaders through mentorship, vast networking opportunities and professional development workshops.
The WiSE program accelerates the development of future women leaders by providing a customized experience for participants.
• Participate in a week of onboarding and integration activities starting on your first day at CGI, activities include a business etiquette workshop, foundations of business consulting workshops, developing your elevator pitch workshop and networking activities with peers across Canada • Exposure to leaders through interactive sessions and a 1.
mentorship with a CGI woman leader • Obtain the ScaledAgile SAFe for Teams Certification.
Technical Skills Agility (ScaledAgile)SAFe for Teams will teach you all about your role on an Agile team and how agile teams work with others as part of an agile release train.
Members learn how to plan and execute work, how to apply Scaled Agile Framework® and Agile principles, and how to continuously improve • Expand your network by participating in national and local social activities with other co-ops • Develop your own learning plan by leveraging our e-learning platform • Participate in professional development workshops focused on soft skill development • Participate in an AI hackathon where the top team wins a grand prize • Fast track to future new grad opportunities at CGI Learn more about the WiSE co-op program by hearing from prior participants.
Supraja Vempalli, DevOps Engineer Co-op https://www.
inkedin.
om/pulse/meet-supraja-wise-wisdom-co-op-student-series-maria-khan-u1m3e?trackingId=d9IER8KJTpanE%2BZesGsiPg%3D%3D Chelsea Beaton, Digital Tech Transformation Consultant Co-op https://www.
inkedin.
om/pulse/meet-chelsea-wise-wisdom-co-op-student-series-maria-khan-zppje?trackingId=QGW9PaEBTjiWlPPrVxo6NQ%3D%3D We are looking for an ambitious AI Analyst Co-op to join our dynamic team.
The co-op will play a crucial role in supporting our AI initiatives by contributing to the development of data pipelines, managing AI data workflows, and ensuring data quality for machine learning models.
This position offers a unique opportunity to gain hands-on experience with AI systems and big data technologies in a real-world setting.
In an effort to foster collaboration and partner with clients, co-op students will be required to be in the office multiple times a week Start Date.
September Application Deadline.
May 20th Perks of Being a CGI Co-op.
Have access to a 1.
Mentor matched with you based on your interests.
Participate in monthly socials to meet co-ops across the country.
Access professional development workshops hosted by domain experts on topics ranging from how to be a top consultant, how to apply the agile methodology, data & analytics and more! To learn more about CGI and hear from our Co-ops and New Grads, visit www.
gi.
om/startmycareer Your future duties and responsibilities.
Support the design and implementation of robust data pipelines for AI and machine learning projects.
Assist with the management of data storage solutions, ensuring scalability and efficiency for AI applications.
Participate in the preprocessing of structured and unstructured data sets for machine learning.
Aid in the development of automated data validation and testing to ensure the accuracy and integrity of data used in AI models.
Collaborate with AI researchers and machine learning engineers to understand data requirements and contribute to model development and deployment.
Help maintain and optimize big data infrastructure, including real-time data processing and batch processing systems.
Engage in the integration of AI components into existing data platforms and services.
Contribute to the creation of monitoring solutions to track the performance of AI models and data pipelines.
Document AI data engineering processes and maintain clear and concise technical documentation.
Required qualifications to be successful in this role.
Must be in a Co-Op accredited program.
Currently enrolled in a program in Computer Science, Data Science, AI, or a related technical field.
Proficiency in programming languages such as Python, Java, or Scala, with a focus on AI or machine learning libraries (e.
., TensorFlow, PyTorch, scikit-learn, LLM).
Understanding of SQL and data storage principles.
Familiarity with cloud computing services (AWS, Azure) and their machine learning platforms is a plus.
Analytical mindset with strong problem-solving abilities and attention to detail.
Capable of working collaboratively in a team as well as independently when required.
A passion for AI technology and a willingness to stay updated on industry trends and developments.
Skills.
Communication (Oral/Written) 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.
Come join our team—one of the largest IT and business consulting services firms in the world.