Computer Vision And Software Engineer (Foz)

Neural Grader
Marín, Spain
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Marín, Spain

Tech stack

Java
Data analysis
Computer Vision
Computer Programming
Data Visualization
Python
Machine Learning
Object Detection
Software Construction
Software Engineering
Software Systems
Deep Learning
Data Analytics
Microservices

Job description

As a Computer Vision Engineer, you will take on the following responsibilities and challenges:ResponsibilitiesMachine 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.Typical CandidateExperience in Classical Computer Vision and Machine Learning.Experience building software.Experience with vibe coding.Draw data-driven conclusions using statistical inference.Programming experience in Python and Java.Self-driven and able to independently carry a task to completion.Pragmatic and goal-oriented.Ideal CandidateAdvanced understanding of deep learning and computer vision methods.Developed and maintained production software solutions.3-year experience in an 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.BenefitsTraining, knowledge transfer sessions, and courses.Regular activities with the team, team building.Casual and friendly working environment with opportunities to impact the company with your ideas and involvement.Versatile 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).#J-*****-Ljbffr

Requirements

Experience with vibe coding. Draw data-driven conclusions using statistical inference. Programming experience in Python and Java. Self-driven and able to independently carry a task to completion. Pragmatic and goal-oriented. Ideal Candidate Advanced understanding of deep learning and computer vision methods. Developed and maintained production software solutions. 3-year experience in an 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 & conditions

Training, knowledge transfer sessions, and courses. Regular activities with the team, team building. Casual and friendly working environment with opportunities to impact the company with your ideas and involvement. Versatile 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). #J-*****-Ljbffr

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