The Data Scientist designs and hands-on builds the AI-enabled verification tool, combining document intelligence, computer vision and AI/ML engineering. The role works with the Business Analyst and technical delivery team to implement approved validation rules, evaluate outcomes and support production-ready MVP delivery.
**Technical Discovery & Solution Design** — Partner with sales to deeply understand customer requirements, business context, and existing technology stacks. Translate these into clear, technically feasible AI solution architectures and integration plans
We are seeking a skilled machine learning engineer (ML Eng) to join one of our agile development teams in our ML & AI ART. In this role, you will play a key part in designing, building, and maintaining robust, scalable AI solutions within a DevOps environment. You'll contribute across the entire lifecycle - from concept to deployment - and collaborate closely with cross-functional teams to deliver high-quality digital solutions.
Build and maintain automated LLM evaluation pipelines covering multiple dimensions, including general capabilities, Agent capabilities, and persona/role-playing capabilities. Support one-click evaluation, historical result comparison, and regression testing.
Train, fine-tune, and evaluate computer vision models for tasks such as classification, object detection, segmentation, pose estimation, and action recognition.
Define enterprise AI reference architectures, AI platform standards, reusable solution patterns, and technical roadmaps aligned to FEO’s AI strategy, enterprise architecture, cybersecurity, data governance, and business priorities.
The Senior AI Harness Engineer joins the organisation’s AI development team to define and build the foundational engineering capabilities supporting AI models and agents at enterprise scale. This role is essential for enabling AI systems to operate securely, reliably, and efficiently across various domains within the organisation.