Role overview
. 3+ years of hands-on experience working with machine learning models, particularly in real-world applications
. Hands-on familiarity with large language models (OpenAI, Anthropic, Cohere, etc.) and prompt engineering techniques
. Strong programming skills, especially in Python, along with common ML libraries like PyTorch, TensorFlow, or scikit-learn
. Experience working within AWS environments (Bedrock, S3, EC2, Lambda, ECS, SageMaker)
. Ability to build and maintain data pipelines and APIs that support ML workflows
. Understanding of MLOps practices, including model deployment, monitoring, and iteration
. Comfort working with data analysis tools or languages such as Pandas, R, or JavaScript
. Good grasp of statistical and machine learning concepts and how they apply to business problems
. Experience developing or deploying AI agents or generative AI-driven solutions
. Strong problem-solving mindset with the ability to explain technical ideas to non-technical stakeholders
Education:
Bachelor's degree in Computer Science, Information Systems, or a related field.
Other Information:
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit-based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $89,600.00 - $188,100.00.
CGI's benefits are offered to eligible professionals on their first day of employment to include:
. Competitive compensation
. Comprehensive insurance options
. Matching contributions through the 401(k) plan and the share purchase plan
. Paid time off for vacation, holidays, and sick time
. Paid parental leave
.Learning opportunities and tuition assistance
. Wellness and Well-being prog
What you'll work on
You'll be involved end-to-endfrom designing and fine-tuning models to deploying them in scalable environments on AWS. This position is a good fit for someone who is comfortable working across both the technical and business sides, and who stays curious about emerging trends in generative AI.
What we're looking for
- Python