AI/ML Engineer

We're looking for an AI/ML Engineer who enjoys building practical, scalable AI solutions and working closely with business teams to bring ideas to life. In this role, you'll design and deploy machine learning models-especially those involving large language models (LLMs) and generative AI-while leveraging AWS cloud services.

You'll play a key part in shaping intelligent systems, from early-stage experimentation and prompt engineering to production deployment and performance optimization. The ideal candidate is comfortable working across the full ML lifecycle and stays current with evolving AI technologies.

Required qualifications to be successful in this role:

. 4+ years of relevant experience in machine learning, data science, or AI engineering

. Solid experience building and deploying machine learning models in real-world environments

. Hands-on work with large language models (OpenAI, Anthropic, Cohere, etc.) and prompt engineering techniques

. Strong Python skills, along with familiarity with libraries like TensorFlow, PyTorch, or scikit-learn

. Comfortable working within AWS-particularly services like Bedrock, S3, EC2, Lambda, and SageMaker

. Experience setting up data pipelines and APIs to support ML workflows

. Good understanding of MLOps practices, including model deployment, monitoring, and iteration

. Ability to translate business needs into technical solutions without overcomplicating things

. Familiarity with data analysis tools such as Pandas, R, or similar

. Exposure to building or deploying AI agents or generative AI-based solutions

. Strong problem-solving mindset and the ability to explain technical ideas clearly

Desired Skillset:

. Experience fine-tuning or customizing foundation models

. Working knowledge of Docker or container orchestration tools

. Awareness of data privacy and security considerations in cloud environments

Education:

Bachelor's degree in Computer Science, Information Systems, or a related field., + Amazon Web Services Cloud

• Analytical Thinking

• Communication

• Data Analysis

• Data Science

• Python

• PyTorch

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 $108,300.00 - $137,100.00.

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 programs

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.