Deliver UX and heuristic/usability analysis using appropriate methodologies and techniques.
Conduct end-to-end user testing. Plan, recruit and report using qual and quant (where possible) to provide high value insights into the customers’ needs and pain points.
Design and deliver wireframes, user stories, user journeys, and mockups optimized for a wide range of devices and interfaces.
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You have 7+ years of software engineering experience: At least 3 years building production AI systems. Not prototypes - systems that handle real traffic at scale.
You’ve shipped production AI: Not notebooks. Not demos. Systems that handle real traffic, break in unexpected ways, and teach you things papers didn't mention.
You operate across paradigms: You are comfortable with SQL and with prompt engineering. You pick the right tool, not your favourite tool.
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Deliver lectures, tutorials, practical sessions and other teaching and learning activities in Artificial Intelligence and related areas at undergraduate and postgraduate levels.
Develop, review and enhance curriculum, course content, teaching materials and assessments to ensure academic quality and relevance to current technological and industry developments.
Supervise undergraduate and postgraduate projects, research, dissertations and/or theses, where applicable.
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Assist in the design, development, and deployment of interactive data dashboards using Google visualization tools (e.g., BigQuery, Looker Studio) to present key business insights
Collaborate with team members to understand data requirements and translate them into effective visual representations
Perform data extraction, transformation, and loading (ETL) processes to prepare data for dashboard integration
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Lead and deliver innovative undergraduate and postgraduate courses in Artificial Intelligence and Cybersecurity.
Develop and supervise research projects in emerging areas such as Machine Learning, Deep Learning, Ethical AI, Cyber Defence, Threat Intelligence, and Cyber Resilience.
Conduct high-quality research and publish in reputable international journals and conferences.
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Lead and deliver innovative undergraduate and postgraduate courses in Artificial Intelligence and Cybersecurity.
Develop and supervise research projects in emerging areas such as Machine Learning, Deep Learning, Ethical AI, Cyber Defence, Threat Intelligence, and Cyber Resilience.
Conduct high-quality research and publish in reputable international journals and conferences.
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Partner with Product Owners, Architects, and cross-functional teams to design, build, and deliver high-quality software solutions.
Design, develop, test, and deploy software using technologies such as React, Angular, Java, JavaScript, AWS, Docker, Kubernetes, Jenkins, Terraform, Git, PostgreSQL, Maven, Gradle, and related tools.
Write clean, efficient, and reliable code that meets performance, security, and quality standards.
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The Senior GeoAI / ML Engineer is responsible for designing, developing, and deploying production-grade Artificial Intelligence (AI), Machine Learning (ML), and GeoAI solutions to support spatial intelligence initiatives. The role focuses on geospatial foundation models, computer vision, remote sensing, georeferencing, spatial analytics, and AI-powered geospatial applications, while ensuring solutions are scalable, reliable, and production-ready.
Design and develop GeoAI, Machine Learning, and Computer Vision solutions.
Build image segmentation, object detection, and feature extraction models.
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At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone.
It’s about finding new ways to not only better people's lives, but to better the communities and environments we live in. Encompassing our ambition of helping a billion people live Healthier, Longer, Better Lives by 2030.
And to get there, we need ambitious people who believe in playing an important part in shaping that future. People seeking unmatched career and personal growth opportunities, who are driven to work with, and learn from some of the most inspiring and supportive leaders in the business.
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Review claims documentation, policy coverage, medical evidence, and loss details to determine claim validity, liability, and entitlement in accordance with Company guidelines and delegated authority.
Assess, review, investigate, approve and process Major Claims (Death and Critical Illness) accurately and timely, applying sound technical judgment and appropriate risk controls.
Utilize digital claims systems, workflow tools, and data dashboards to manage claim assessments, monitor turnaround time and ensure adherence to service level and quality benchmarks.
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