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.
* Algorithms: Research, implement, and optimize computer vision and numerical algorithms to build new system components or enhance existing ones.
* 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.
We work in small teams with a startup mentality. We are a horizontal organization where originality and self-drive are valuable assets that we encourage. Our team members have diverse research and technical backgrounds in various complementary fields. You will have a key position in designing and building innovative products.
Our clients are the largest lumber sawmills worldwide. 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.
A typical candidate would
* have experience in Classical Computer Vision and Machine Learning
* have experience building software
* have experience with vibe coding
* draw data-driven conclusions using statistical inference
* have programming experience in Python and Java
* be self-driven and able to independently carry a task to completion
* be pragmatic and goal-oriented
The ideal candidate would
* have an advanced understanding of deep learning and computer vision methods
* have developed and maintained production software solutions
* have 3-year experience in a R&D position in the industry
* enjoy reading the latest academic papers in the field
* thrive in a client-driven research environment that requires creative interdisciplinary solutions
Benefits
* training, knowledge transfer sessions, and courses
* regular activities with the team, team building
* casual & friendly working environment with opportunities to impact the company with your ideas and involvement
* flexible working hours
* bonuses and attractive salary package
* working in an international/multicultural team
* support for exams and certifications for professional growth
* smart people all around, and real technical challenges
* extra perks (Between 21 and 25 vacation days, days off for special or unexpected events)
Interested in applying? xohynlm
Send your CV together with a few introductory words about yourself!