artificial intelligence (AI) consultant

"If you are excited about applying machine learning to tackle real-world challenges in spatial movement analysis , this is a perfect opportunity for you. Be a part of the team of research and machine learning scientists building deployable real-world ML applications from ground up and get mentored by some of the best minds in AI during the process." - Xu, Machine Learning Scientist and Amor Provins, Product Owner, Advanced TechnologyAbout the RoleThis is a paid Residency that will be undertaken over a twelve-month period with the potential to be hired by our client, ZeroKey, afterwards (note: at the discretion of the client). The Resident will report to an Amii Scientist and regularly consult with the client team to share insights and engage in knowledge transfer activities. Successful candidates will be members of a cross-functional project team with backgrounds in ML research, project management, software engineering, and new product development. This is a rare opportunity to be mentored by world-class scientists and to develop something truly impactful.About the ClientZeroKey is building the spatial data layer for Physical AI.AI transformed the digital economy because every keystroke was captured as data. The physical economy has no equivalent. On a factory floor, every human action, material movement, tool motion, and assembly step is invisible to software, and therefore to AI. ZeroKey closes that gap.ZeroKey's patented Quantum RTLS® (35+ patents) is the industry's most accurate large-scale 3D real-time location system. It tracks people, tools, robots, and materials across entire factories to an accuracy of 1.5 millimetres, over 100 times more precise than anything else on the market, using ultrasound instead of cameras. That precision is the foundation of something bigger. The spatial data feeds OmniVisor AI?, an agentic platform that puts a dedicated AI process engineer in every work cell. The OmniVisor AI? platform combines agentic intelligence with physical motion dynamics to continuously analyze workflows and process efficiencies in real time. Driven by a commitment to eliminate waste, improve worker safety, and unlock operational efficiency, ZeroKey is building the foundation for the self-diagnosing, autonomous factories of the future.About the ProjectA central objective of this project is to use machine learning to prevent anomalies, inefficiencies, ergonomic risks, or non-compliant operations. Analysis will be performed both continuously and proactively by the OmniVisor AI platform, and upon request by end users with specific queries.This project will deliver machine learning models that can be deployed in production environments, optimized for real-time performance to efficiently run on edge-devices. The models will be capable of operating live on the millimeter-accurate positioning data and other observables in programmed workflows, analyzing the spatial-temporal patterns. Required Skills / ExpertiseAre you passionate about building great solutions? You'll be presented with opportunities to both personally and professionally develop as you build your career. We're looking for a talented and enthusiastic individual with a solid background in machine learning, AI agents, along with proven experience in applied settings.Key Responsibilities: Build predictive models that can detect risky behaviors in the system. Prepare, clean, and curate datasets for model training, fine-tuning, benchmarking, and evaluation. Conduct applied research in advanced models for spatial-temporal multimodal analysis on complex patterns. Explore potential agentic AI solutions for advanced business problems. Collaborate with the project team and stakeholders to develop MVP and client focused solutions. Engage in regular client meetings, contributing to presentations and reports on project progress. Required Qualifications: Completion of a Computer Science (or a related graduate degree program) MSc. or PhD with specialization in Artificial I