AI Engineer / Scientist — Computer Vision & Deep Learning (Health Technology) - Contract to Hire

AI Engineer / Scientist — Computer Vision & Deep Learning (Health Technology) Budget: $500/month (part-time) Hours: 20–25 hrs/week Location: Remote Company: UNVRS AI Technologies (UK-based) About the Project We are building next-generation AI systems that use computer vision and deep learning to analyse biological samples from mobile devices. Our product is early-stage, innovative, and involves: • advanced computer vision • image-based inference • multi-task deep learning • mobile AI pipelines • real-time inference optimisation We are assembling a small, high-calibre team of AI engineers and scientists to help develop and scale our core models. This role is ideal for someone who: • is excited by hard technical problems • wants to work on meaningful health technology • thrives in an early startup environment • enjoys combining research + engineering What You’ll Be Working On (High Level — No sensitive details) • Building and improving CV models for analysing small biological samples • Designing multi-task learning systems running on mobile-device image inputs • Feature extraction, model training, optimisation, and evaluation • Building pipelines that combine image features + metadata + ground-truth values • Supporting dataset structuring (annotation specs, pre-processing, labelling logic) • Implementing inference flows that can run on backend servers or mobile apps • Researching state-of-the-art methods in: • visual biomarkers • signal extraction • multi-head architectures • weakly supervised learning Required Skills • Strong background in deep learning & computer vision • PyTorch or TensorFlow • CNNs, ViTs, multi-task architectures • Experience training models on RGB images • Understanding of: • feature extraction • augmentation pipelines • supervised learning with noisy labels • Experience building inference-ready models • Ability to read research papers and propose solutions quickly • Strong research mindset — experimental, curious, scientifically rigorous ⭐ Bonus Skills (Not required, but highly valued) • Experience with medical imaging or biological datasets • Experience building computer-vision pipelines for mobile or edge devices • Knowledge of data engineering or MLOps • Scientific background (bio/biomed/physics/math) What We’re Looking For in a Person • Ownership mindset — you take responsibility for your domain • Can work independently and propose solutions • Comfortable in ambiguity, fast iteration, and experimentation • Able to research, prototype, test, refine • Strong communication and clarity ⸻ Why Join Us • Work directly with founder & technical leadership • Build AI that will be deployed in the UK, Africa, and global settings • Build something meaningful in global health • Cutting-edge CV/ML work on a real product • Long-term incentive opportunities for core contributors (handled outside Upwork in compliance with platform rules) Apply tot his job