Are you a Machine Learning Architect or a Senior Data Scientist with hands-on experience with MLOps? Are you interested in working in a talented and collaborative team developing Data and AI solutions for leading global clients? If you have that technical expertise of building and productionizing ML models, a flair for leading a team of Data Scientists and ML Engineers, plus a mindset to collaborate with diverse clients and stakeholders, we're looking for you.

This role is open to across Canada within proximity to CGI offices.

The ET (Emerging Technologies) team in Global Technology and Operations (GTO) Canada at CGI is a trusted Data, Cloud and AI advisor and go-to implementation partner for our global clients' Data and Advanced Analytics needs. We're an entrepreneurial team that is on a continuous mission to position CGI as the best-in-class AI partner and develop new and exciting opportunities in latest technologies including Generative AI. In our endeavor to provide end-to-end AI capabilities, we start with learning about the clients' business and data landscape, assess possible opportunities, help shortlist and turn those opportunities into action, and then scale it across the organization unlocking a larger impact for clients and their consumers. For this, we depend on a talented and motivated team of Data Architects, Data Scientists, Data Engineers, Cloud DevOps professionals, Cloud Architects and other solutions experts.

As a hands-on Machine Learning Architect on the team your responsibilities will include:
- strategically collaborating with the client stakeholders and account teams to explore and implement key AI solutions
- keeping a holistic architectural mindset when designing and implementing AI architecture for clients - ML implementation, Data Engineering, MLOps, Data Privacy and Responsible AI, Data Governance
- leading a team of multiple Data Scientists and Data Engineers in a client engagement setting
- Also being ''hands-on'' to build, tune, deploy and monitor robust Machine Learning models and components in on-premise or cloud environments
- Gathering client requirements, coding and implementing reusable data pipelines to support ML modelling
- Implementing proof of concepts to show value and then package and scale to full ML models at scale on both on-prem and cloud environments
- Supporting the other Data Scientists in the team with technical knowledge and mentorship

Essential Qualifications
- 5 years or more ''hands-on'' working experience delivering diverse Advanced Analytics solutions
- Some experience leading small or big technical teams implementing ML solutions in any industry
- Hands-on expertise in building and deploying code using Python, Pyspark, SQL and major programming languages with at least one major Cloud platform (Azure, AWS, or GCP)
- Excellent communication and mentorship skills

Desired qualifications
- Data Governance and Data Mesh/Data Fabric implementation experience
- Experience leading technical teams of Data Scientists
- Experience with large datasets on cloud and experience with Hadoop and HDFS
- End-to-end ML experience including MLOps experience
- Experience with Google Vertex AI, AWS Sagemaker or Azure Cognitive Services
- Experience with Generative AI projects is an asset

• Advanced Analytics
• Artificial Intelligence
• Google Cloud Platform

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.