AI/ML Leader @ CGI

We are seeking an experienced AI Evangelist with 15-20 years of hands-on AI experience to join our team. This individual will play a key role in driving the companys AI initiatives, promoting the use of AI technologies, and influencing both internal and external stakeholders on AI innovations and capabilities. As an AI Evangelist, you will be responsible for translating complex AI concepts into business value, engaging with industry leaders, clients, and communities, and helping lead the strategic direction for AI at our organization. :
AI Advocacy & Evangelism: Promote AI technologies within the company and the broader community by speaking at industry events, conferences, and engaging with industry groups. Act as the face of the organization for AI, building a positive reputation as an AI thought leader.
Strategic Guidance: Work closely with executives and senior leadership to define the AI vision, strategy, and roadmap for the organization, ensuring alignment with business objectives and long-term goals.
Hands-On AI Expertise: Leverage your hands-on AI experience to architect, develop, and deploy AI-driven solutions that address real-world business challenges. Lead by example in prototyping and proof-of-concept development.
Collaboration and Cross-Functional Leadership: Partner with product teams, data scientists, engineers, and other stakeholders to design, build, and implement AI solutions that add tangible value to the organization.
AI Community Engagement: Actively contribute to the AI community through publishing articles, whitepapers, and research, while participating in open-source AI initiatives and collaborating with academic institutions.
Training & Mentorship: Educate and mentor junior AI professionals within the organization, ensuring the continuous development of AI talent. Conduct workshops and internal training sessions to upskill employees on AI best practices.
Innovation & Research: Stay abreast of the latest advancements in AI and machine learning and explore emerging technologies, bringing cutting-edge ideas and concepts to the organization.
Client Interaction & Consultations: Engage directly with clients to understand their AI needs and provide customized AI solutions. Work with sales and marketing teams to showcase AI offerings to clients and stakeholders. Required Skills & Qualifications: Experience: 13+ years of hands-on experience in AI, machine learning, deep learning, and related technologies.
Education: Bachelors or Masters degree in Computer Science, Data Science, AI, or a related field. Ph.D. is a plus.
Proven Leadership: Significant experience in a senior AI leadership role, with a track record of successfully driving AI initiatives and influencing business strategy.
Hands-On Expertise: Expertise in AI algorithms, model development, data processing, and deploying production-grade AI solutions using frameworks such as TensorFlow, PyTorch, and Scikit-learn.
Programming Skills: Advanced proficiency in Python, R, or similar programming languages, with experience in AI/ML libraries and tools.
Strong Communication Skills: Excellent written and verbal communication skills, with the ability to clearly articulate complex AI concepts to non-technical stakeholders.
Innovation-Oriented: A strong passion for AI innovation, research, and staying up to date with cutting-edge advancements in the field.
Business Acumen: A deep understanding of how AI can drive business value, with a focus on delivering tangible, measurable results.
Industry Knowledge: Extensive knowledge of AI trends, technologies, and industry best practices, with experience across multiple domains such as NLP, computer vision, and reinforcement learning.
Public Speaking & Presentation Skills: Proven experience in delivering presentations at conferences, webinars, and industry events. Preferred Qualifications:
Experience in AI product management or commercialization of AI solutions.
Involvement in AI-related publications, research, or patents.
Experience working in AI-related consulting or client-facing roles.
Familiarity with cloud-based AI solutions and services (e.g., AWS AI/ML, Azure AI, Google Cloud AI). Behavioral Competencies :
Proven experience of delivering process efficiencies and improvements
Clear and fluent English (both verbal and written)
Ability to build and maintain efficient working relationships with remote teams
Demonstrate ability to take ownership of and accountability for relevant products and services
Ability to plan, prioritise and complete your own work, whilst remaining a team player
Willingness to engage with and work in other technologies Note: This job description is a general outline of the responsibilities and qualifications typically associated with the Virtualization Specialist role. Actual duties and qualifications may vary based on the specific needs of the organization.

Skills:

• Artificial Intelligence
• Leadership