Computer Vision Engineer

Senior Computer Vision Engineer

About ShipI

n

ShipIn Systems is the world’s first FleetVision Platform, unlocking ship-to-shore collaboration for global maritime fleets with AI-powered maritime CCTV and visual analytics. Our platform proactively alerts shipowners, managers, and seafarers to onboard events in real time, enhancing safety, security, and operational efficiency across fleets worldwid

e.

About the R

a Computer Vision Engin

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.