Ready to join an outstanding culture that cares about diversity and inclusion, corporate social responsibility, and gives the freedom to innovate, influence decisions, and chart an exciting career?
CGI is more than just an IT company. Be part of a hardworking team that supports the local community with the ability to draw on global best-in-class talent! Benefits include a share purchase program, profit sharing, wellness credits, training/development programs, and flexible work schedules.
Do you want to use your emerging Machine Learning skills to have an impact while working on real-world projects? Our team is looking for a statistical wizard with a passion for extracting the value out of data.

YOUR FUTURE DUTIES AND RESPONSIBILITIES

• Design, develop and implement Machine Learning algorithms
• Create end to end ML Pipelines leveraging MLOps and Agile ways of working
• Conduct Exploratory data analysis
• Apply Statistics in environments with unknown outcomes (must be comfortable with failing quickly)
• Stay up to date on the latest and historical Machine Learning research and architectures both in mathematics and code implementation
• Develop visual interfaces to present results
• Hone your analytic, programming, and business skills

REQUIRED QUALIFICATIONS TO BE SUCCESSFUL IN THIS ROLE

• Must be an expert in statistics with at least 2 years proven record of demonstrating the meaning in data in a business environment
• Proven experience in developing and implementing machine learning models and algorithms.
• Passionate about Statistic Learning and willing to continuously increase technical proficiency.
• Programming ability (e.g. Python, R) and a willingness to solve problems with brain as well as hands.
• Experience with machine learning libraries and frameworks (e.g. TensorFlow, Pytorch, scikit-learn or similar tools)
• Experience creating and supporting ML Pipes leveraging Docker, Kubernetes, ML Flow and similar tools
• Experience and certification on cloud platforms: Amazon AWS, Microsoft Azure, Google Cloud Platform
  Technical Skill Expected to Be Developed: JavaScript, C, Rust, Linux Administration, CI/CD, Agile ways of working
  Education:
  Masters or PhD in a Mathematics, Informatics, Statistics or a field with extensive experience in applying the scientific method
  

  LI-AP1