gy.You will play a key role in shaping our computer vision roadmap, improving detection accuracy, reliability, and scalability across large-scale maritime CCTV deploymen

ts.

Key Responsibili

• tiesLead the end-to-end development lifecycle of computer vision solutions, from problem definition and data collection through research, training, evaluation, deployment, and ongoing monitor
• ing.Design, implement, and iterate on advanced computer vision and deep learning models tailored to real-world maritime environme
• nts.Work closely with cross-functional teams, including product, data, and platform engineers, to deliver impactful, production-ready solutions to complex maritime safety and operational challen
• ges.Own model quality in production, including validation strategies, performance analysis, failure investigation, and continuous improvem
• ent.Stay current with relevant research and translate state-of-the-art methods into practical, scalable syst

ems.

Qualifica

• tionsMinimum of 7 years of hands-on experience in Computer Vision and/or Deep Learning, with a proven track record of taking models from POC to produc
• tion.Experience working with CCTV or video-based datasets is requ
• ired.Master’s degree in Computer Science, Engineering, or a related technical f
• ield.Strong proficiency in Python, with the ability to write clean, maintainable, and scalable code for large, long-lived proj
• ects.Deep expertise in PyTorch and solid experience with OpenCV and other computer vision libra
• ries.Strong mathematical foundation and the ability to read, understand, and critically evaluate research papers and algori
• thms.Bonus if you have experience deploying and optimizing models on edge devices or resource-constrained environments.