SSE-AI/ML

Position Description.
AI/ML Engineer - 2-3 years experience.
At CGI we do complex things well.
We are at the forefront of helping our clients expose the value held in data, drive their transformation needs and put ML and AI at the very heart of their business.
CGI embraces a culture of experimentation, and a constant drive for continuous improvement and learning.
Responsibilities.
You are a talented ML Engineer who likes a challenge.
We are looking to build ML/AI solutions that possess the transformative power to help clients adopt ML-Ops platforms into the very fabric of what they do.
From the implementation of ML/AI into critical infrastructure, all the way through to building out the latest recommendation engine for digital marketing; the opportunity to develop, learn and create is here.
You will help support the creation of thought-provoking solutions using the likes of Kubeflow/ML-Flow and bring a good understanding of Kubernetes to deliver ML/AL at scale, but equally you will bring the ability to work collaboratively with clients and help lead them on their journey to reap the benefits of ML/AI.
You are a self-starter, fast-learner, and bring a high level of drive and tenacity, but are down to earth and able to connect with a wide range of internal and external stakeholders.
Our junior team members are always looking for role models and you will relish the opportunity to help shape the next generation of ML/AI specialists and support building out our growing Centre of Excellence and lead from the front.
Requirements.
We are looking for great people to join a great culture.
We do not expect everyone to have all of the skills below, but you’re the type of person who has the ability to get there quickly.
 BS/BA/Masters in STEM background  Proficiency in one or more modern programming languages, mainly Python  Can work across one or more of the common cloud environments Azure/AWS/GCP  Solid understanding of a ML/AI libraries and algorithms cutting across the likes of Scikit-Learn, Keras and TensorFlow  Demonstrable experience of Kubernetes, Kubeflow/ML-flow and ability to manage containerised workflows, including performance monitoring and tuning and solid understanding of ML-Ops practices to drive production model reliability and efficiency.
 Advanced knowledge of application, data, and infrastructure architecture disciplines  Understanding of architecture and design across all systems  Knowledge of industry-wide technology trends and best practices across Machine Learning, Data Movement, Security, etc.
 Ability to work in large, collaborative teams to achieve organizational goals.
 Passionate about building an innovative culture.
 Understanding of software skills such as business analysis, development, maintenance, and software improvement  Ability to see the road ahead and design reusable code.
Skills.
Artificial Intelligence Kubernetes What you can expect from us.
Insights you can act on While technology is at the heart of our clients’ digital transformation, we understand that people are at the heart of business success.
When you join CGI, you become a trusted advisor, collaborating with colleagues and clients to bring forward actionable insights that deliver meaningful and sustainable outcomes.
We call our employees “members” because they are CGI shareholders and owners, and, as owners, we enjoy working and growing together to build a company we are proud of.
This has been our Dream since , and it has brought us to where we are today—one of the world’s largest independent providers of IT and business consulting services.
At CGI, we recognize the richness that diversity brings.
We strive to create a work culture where everyone belongs, and we collaborate with clients in building more inclusive communities.
As an equal opportunity employer, we empower all our members to succeed and grow.
If you require an accommodation at any point during the recruitment process, please let us know.
We will be happy to assist.
Ready to become part of our success story? Join CGI—where your ideas and actions make a difference.