Computer Vision and Software Engineer (Comunidad Valenciana)
Computer Vision and Software Engineer (Comunidad Valenciana)
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Comunidad Valenciana, España
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Publicado: ayer
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Descripción
As a Computer Vision Engineer, you will take on the following responsibilities and challenges:
- 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. Atypicalcandidatewould
- haveexperienceinClassicalComputer VisionandMachineLearning
- have experience building software
- have experience with vibe coding
- drawdata-drivenconclusionsusingstatisticalinference
- haveprogrammingexperienceinPythonandJava
- beself-drivenandabletoindependentlycarry a tasktocompletion
- bepragmaticandgoal-oriented The adecuado candidatewould
- haveanadvancedunderstandingofdeeplearningandcomputer vision methods
- have developed and maintained production software solutions
- have 3-yearexperiencein aR&Dpositionintheindustry;
- enjoyreadingthelatestacademicpapersinthefield
- thrive in a client-driven research environment that requires creative interdisciplinary solutions Benefits
- training,knowledgetransfersessions,andcourses
- regularactivitieswiththeteam, team building
- casual & friendly working environment with opportunities to impact the company with your ideas and involvement
- flexibleworkinghours
- bonusesandattractivesalarypackage
- workingin aninternational/multicultural team
- supportforexamsandcertificationsforprofessionalgrowth
- smartpeopleallaround,andrealtechnicalchallenges
- extraperks(Between21and25vacationdays,daysoff for special orunexpectedevents) Ready to Apply? We're excited to hear from you! Send us your application and let's start the conversation about your future with us. #J-18808-Ljbffr Postúlate en Kit Empleo: kitempleo.es/empleo/6u1skb
- 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. Atypicalcandidatewould
- haveexperienceinClassicalComputer VisionandMachineLearning
- have experience building software
- have experience with vibe coding
- drawdata-drivenconclusionsusingstatisticalinference
- haveprogrammingexperienceinPythonandJava
- beself-drivenandabletoindependentlycarry a tasktocompletion
- bepragmaticandgoal-oriented The adecuado candidatewould
- haveanadvancedunderstandingofdeeplearningandcomputer vision methods
- have developed and maintained production software solutions
- have 3-yearexperiencein aR&Dpositionintheindustry;
- enjoyreadingthelatestacademicpapersinthefield
- thrive in a client-driven research environment that requires creative interdisciplinary solutions Benefits
- training,knowledgetransfersessions,andcourses
- regularactivitieswiththeteam, team building
- casual & friendly working environment with opportunities to impact the company with your ideas and involvement
- flexibleworkinghours
- bonusesandattractivesalarypackage
- workingin aninternational/multicultural team
- supportforexamsandcertificationsforprofessionalgrowth
- smartpeopleallaround,andrealtechnicalchallenges
- extraperks(Between21and25vacationdays,daysoff for special orunexpectedevents) Ready to Apply? We're excited to hear from you! Send us your application and let's start the conversation about your future with us. #J-18808-Ljbffr Postúlate en Kit Empleo: kitempleo.es/empleo/6u1skb
Información clave
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Nombre de la empresaNeural Grader
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Nombre de la vacanteComputer Vision and Software Engineer (Comunidad Valenciana)
Consejos de seguridad
Ten cuidado con trabajos prometedores que no exigen demasiado.
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