Computer Vision and Software Engineer

As a Computer Vision Engineer, you will take on the following responsibilities and challenges:

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Machine Learning: Design and develop reliable, scalable, and efficient machine learning models for object detection, segmentation, and classification tasks.

Software Development: Build a broad range of computer vision software systems, from production-ready microservices to rapid prototypes that integrate multiple components.

Data Analysis: Apply statistical methods and use visualization tools to develop dashboards that monitor and evaluate both component performance and production systems.

Innovative Development ("Vibe Coding"): Leverage creative, interdisciplinary approaches to develop innovative solutions that remain robust, maintainable, and aligned with software engineering best practices.

Our team members have diverse research and technical backgrounds in various complementary fields. xugodme These companies play a key role in the transition to a carbon-neutral world, and we help them bring innovation, technology, and automation to drive efficiency and reduce waste.

have experience in Classical Computer Vision and Machine Learning have experience building software draw data-driven conclusions using statistical inference have programming experience in Python and Java have developed and maintained production software solutions training, knowledge transfer sessions, and courses casual & friendly working environment with opportunities to impact the company with your ideas and involvement flexible working hours extra perks (Between 21 and 25 vacation days, days off for special or unexpected events)