Testing & Validation: Conduct rigorous testing of AI systems in simulation and real-world environments to ensure reliability and accuracy. Documentation: Prepare comprehensive technical documentation, including model architectures, algorithms, and results for knowledge sharing and reference.
Bachelor’s or Master’s degree in Artificial Intelligence, Computer Science, Robotics, or any related field.
At least 5 years of experience working in AI, machine learning, or robotics engineering.
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Assess the commercial potential and technical readiness levels of internal R&D projects for potential spin-offs or new business incubation.
Bachelor's degree in Engineering (e.g., Electrical, Mechanical, Chemical, Software, Materials Science, Biomedical) or a relevant scientific discipline from an accredited institution.
Master's or Ph.D. in a relevant engineering or scientific field is highly preferred.
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Documentation: You will be responsible for documenting the workflows you create for future reference and for the rest of the team. Once again, even more boring, but use AI to make this easier!
Currently pursuing or recently completed a degree in Computer Science, Information Systems, Engineering, or a related technical field.
A strong foundational understanding of programming logic, data structures, and APIs. While you won't be writing extensive code, a technical mindset is crucial.
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Safety & Bias Auditing: Lead "Red Teaming" sessions to identify potential biases, toxic content, or PII (Personally Identifiable Information) leaks.
Regression Testing: Manage the evaluation of model performance across different versions to ensure seamless upgrades and stability.
Collaboration & Delivery: Work with Product Owner, Developers, AI Engineers and UX Designers to deliver the Virtual Companion. Contribute to sprint planning, code reviews and documentation.
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Manage vendor relationships, demos, and licensing negotiations to ensure cost-effective procurement.
Write scripts and small tools (e.g. Python, JavaScript, SQL) to automate manual workflows, integrate systems via APIs, or prototype solutions before committing to a vendor purchase.
Assess vendor claims technically — reading documentation, testing APIs, and validating whether a proposed system genuinely fits the business's technical environment.
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Enjoy the ownership and pace of a startup, backed by the stability of an established organisation.
Help define the technical standards for an entirely new product category using AI infrastructure.
Perform AI readiness audits across a variety of key customer websites, including Shopify Plus and Magento websites to identify structured data, crawlability, and AI discoverability issues.
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