Deskripsi Pekerjaan
Founding Computer Vision Engineer (Up to 15% Equity + EXIST Funding) INTRO NexTex AI is building machine-level intelligence for textile manufacturing. Our platform combines industrial cameras, retrofit sensors, machine data, and AI models to detect textile defects, identify production anomalies, and generate sustainability intelligence across knitting, dyeing, finishing, and quality control operations. Unlike traditional quality control systems, NexTex AI connects machine behavior, fabric quality, and sustainability performance through a unified industrial AI platform. By combining computer vision, machine signals, production metadata, and process parameters, we help manufacturers reduce fabric waste, rework, water consumption, energy usage, and CO₂ emissions while improving process stability and production quality. Initial applications include needle-related defects, elastane failures, oil stains, fabric distortions, shade deviations (ΔE), machine start-stop anomalies, and process instabilities in large-scale textile production environments. NexTex AI is currently preparing its EXIST startup funding application and collaborates with industrial partners including Terrot Textilmaschinen GmbH in Germany, as well as Ribana Tekstil and Nuryıldız Tekstil in Turkey. These partnerships provide direct access to real production environments, industrial machine fleets, textile defect scenarios, and manufacturing datasets. We are looking for a Founding Computer Vision Engineer to join the core team and help build the AI technology behind NexTex AI from the ground up. Tasks Tasks • Design, develop, and deploy computer vision systems for industrial textile inspection • Build object detection, segmentation, classification, and anomaly detection models using real-world manufacturing data • Train, evaluate, and optimize deep learning models using modern computer vision architectures • Develop image acquisition, preprocessing, augmentation, labeling, and validation pipelines • Build and maintain large-scale industrial image and video datasets collected from textile production environments • Develop multimodal AI systems combining visual data, machine events, sensor signals, PLC/SCADA data, and production metadata • Optimize models for edge deployment and real-time inference in industrial environments • Develop model monitoring, validation, and continuous learning workflows • Work directly with real-world manufacturing challenges including needle-related defects, elastane failures, oil stains, fabric distortions, shade deviations (ΔE), and machine-process anomalies • Collaborate with textile engineers and industrial partners to translate manufacturing problems into scalable AI solutions • Contribute to the architecture of NexTex AI’s edge-to-cloud industrial AI platform • Participate in pilot deployments and industrial validation projects with textile manufacturers and machine technology partners • Help define the long-term AI strategy, technical roadmap, dataset