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We are seeking a passionate AI Solutions Engineer (Co-op/Internship program) to help drive automation and efficiency across our business operations. This internship offers hands-on experience in researching processes, identifying automation opportunities, and collaborating with experts to implement AI solutions.
Job Responsibility:
Research, analyze, and identify opportunities to streamline and improve internal and external processes on a large scale
Work with experts to put the provided use cases into action and foster innovation
Support in implementing process improvements and tracking their impact on team productivity and customer experience
Document research findings, proposed solutions, and implementation steps
Stay updated on the latest AI and machine learning tools, frameworks, and trends
Requirements:
Currently enrolled in or recently graduated from a Bachelor’s or Master’s program in Computer Science, Data Science, Cybersecurity, or a related field
Familiarity with AI and machine learning fundamentals
Proficiency in Python (preferred) or other programming languages
Deep understanding of LLM & AI tools (Copilot, Claude, Gemini, etc)
Deep understanding of IDE (VSCode, Antigravity, etc)
Strong analytical and problem-solving skills
Demonstrated interest in cybersecurity
Nice to have:
Experience with machine learning frameworks (e.g. TensorFlow, PyTorch, scikit-learn)
Familiarity with data analysis and visualisation techniques
Basic knowledge of cybersecurity principles
Exposure to automation tools (e.g. RPA, scripting)
What we offer:
One-on-one mentorship from cybersecurity professionals
Exposure to real-world AI applications in a cybersecurity/consulting context
Cross-functional collaboration across departments
Global professional development and networking opportunities
Potential for full-time employment based on performance
Competitive hourly wage with paid statutory holidays
Monthly transportation allowance
Monthly social events
Free in-office coffee/snacks
Excellent training, mentorship, and career advancement opportunities in a caring, collaborative, and inclusive culture
Hybrid work environment with provided equipment to ensure optimal productivity