Data Scientist - Computer VisionLocation: Remote / Hybrid / On-site (flexible)Type: Full-timeCompany: Small AI Startup About the CompanyThe company is a small, fast-growing AI startup building practical solutions to real-world problems using artificial intelligence and computer vision. The team works closely across disciplines, values experimentation, and focuses on delivering models that perform reliably outside of controlled environments. The RoleThe company is seeking a Data Scientist with a focus on computer vision to work on end-to-end AI solutions. This role involves taking ownership of computer vision problems from early exploration through to production deployment.The successful candidate will play a key role in shaping both the product and the technical direction of the company, working in a hands-on, fast-paced startup environment. Key ResponsibilitiesDevelop, train, and evaluate computer vision models (e.g. image and video classification, object detection, segmentation)Work with complex, real-world visual datasets, including data preparation and augmentationExperiment with and adapt modern deep learning architecturesCollaborate closely with engineers and founders to integrate models into production systemsIterate quickly based on product requirements and real-world feedbackContribute to technical decision-making and best practices within the team Required Skills and ExperienceExperience in data science, machine learning, or a related role with exposure to computer visionStrong programming skills in PythonHands-on experience with machine learning and computer vision frameworks (e.g. PyTorch, TensorFlow, OpenCV)Solid understanding of machine learning fundamentalsAbility to work independently in an environment with evolving requirementsStrong communication skills and the ability to explain technical concepts clearly Desirable ExperienceExperience deploying machine learning models into productionFamiliarity with cloud platforms, containerisation, or MLOps toolingExperience in a startup or small team environmentBackground in video analytics, edge AI, or multi-modal modelsEvidence of practical computer vision work (projects, open-source, publications) What the Company OffersA high-impact role with real ownership and influenceExposure to the full lifecycle of AI product developmentA collaborative, low-bureaucracy environmentCompetitive compensation and flexible working arrangementsStrong opportunities for learning and professional growth