Senior Ai & Computer Vision Software Engineer

Plain Concepts
Lleida (Lérida), Spain
2 days ago
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Role details

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

Tech stack

Clean Code Principles 3D Computer Graphics Software Agile Methodology Artificial Intelligence Computer Vision Code Review Computer Literacy Python (Programming Language) Software Engineering Video Editing Deep Learning Gaussian
+1 more
Maintaining Code

Job description

OverviewIn this role you will turn uncertain, exploratory AI and CV research into real, production-ready software. You’ll work with cross-functional teams in an agile setting to transform promising ideas into reliable systems, balancing time, budget, and feasibility. You’ll prototype, validate experiments, and push from concept to production while upholding high engineering standards. This position offers meaningful impact by advancing cutting-edge tech across AI, CV, and 3D graphics in a collaborative environment.Compensaciones / Beneficios Flexible schedule 35 Hours / WeekFully remote work (optional)Flexible compensation (restaurant, transport, and childcare)Medical and dental insuranceTraining budget and Microsoft certificationsBirthday day offResponsabilidades Break down complex, ambiguous problems into small iterationsPrototype quickly, validate hypotheses, and discard approaches efficientlyTurn prototypes into production-ready solutions with robustness and monitoringStudy and apply recent AI/CV/3D techniques and combine approaches creativelyShare knowledge through internal sessions, mentoring, and external talksBridge research and production by evaluating technologies and reducing riskWrite clean, maintainable code and participate in code reviews in an Agile settingRequisitos principales Strong experience in PythonSolid software engineering foundationsStrong knowledge of Computer Vision / Deep Learning (image/video processing, 3D vision, segmentation/detection)Ability to implement end-to-end solutions with production constraintsGood communication skills in EnglishStrong problem-solving under uncertaintyFast experimentation mindset (hypothesis, prototype, measure, decide)Pragmatic delivery while maintaining code qualityPythonComputer Vision / Deep Learning3D vision (point clouds, NeRF/Gaussian Splatting)

Requirements

Write clean, maintainable code and participate in code reviews in an Agile setting Requisitos principales Strong experience in Python Solid software engineering foundations Strong knowledge of Computer Vision / Deep Learning (image/video processing, 3D vision, segmentation/detection) Ability to implement end-to-end solutions with production constraints Good communication skills in English Strong problem-solving under uncertainty Fast experimentation mindset (hypothesis, prototype, measure, decide) Pragmatic delivery while maintaining code quality Python Computer Vision / Deep Learning 3D vision (point clouds, NeRF/Gaussian Splatting)

Benefits & conditions

In this role you will turn uncertain, exploratory AI and CV research into real, production-ready software. You’ll work with cross-functional teams in an agile setting to transform promising ideas into reliable systems, balancing time, budget, and feasibility. You’ll prototype, validate experiments, and push from concept to production while upholding high engineering standards. This position offers meaningful impact by advancing cutting-edge tech across AI, CV, and 3D graphics in a collaborative environment. Compensaciones / Beneficios Flexible schedule 35 Hours / Week Fully remote work (optional) Flexible compensation (restaurant, transport, and childcare) Medical and dental insurance Training budget and Microsoft certifications Birthday day off Responsabilidades Break down complex, ambiguous problems into small iterations Prototype quickly, validate hypotheses, and discard approaches efficiently Turn prototypes into production-ready solutions with robustness and monitoring Study and apply recent AI/CV/3D techniques and combine approaches creatively Share knowledge through internal sessions, mentoring, and external talks Bridge research and production by evaluating technologies and reducing risk

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