FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Computer Vision Developer – Mid-level
ALTAVEDesenvolver soluções de visão computacional na ALTAVE, integrando inteligência artificial em diversas aplicações. Trabalhar com algoritmos de detecção e segmentação para melhorar operações em empresas de óleo e gás.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and integrating computer vision solutions, utilizing deep learning frameworks such as PyTorch and TensorFlow, and applying best practices in coding and automated testing. Proficient in dataset creation and annotation, with a strong foundation in image and video processing.
Highest-signal resume keywords
Computer Vision Solutions DevelopmentDeep Learning Frameworks (PyTorch, TensorFlow)Python ProgrammingAutomated Software TestingImage and Video Processing
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Python ProgrammingImage ProcessingVideo ProcessingDeep LearningAlgorithm DevelopmentDataset AnnotationModel Training AutomationCode Quality AssuranceAgile MethodologiesLinux Basics
Tools & Technologies
PyTorchTensorFlowGitLLMs
Industry Keywords
Computer VisionDetection AlgorithmsSegmentation AlgorithmsModel ValidationPeer Review
Tech Stack
Tools & technologiesLinuxPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Develop and integrate computer vision solutions for diverse real-world scenarios
- Propose and evaluate new detection and segmentation algorithms
- Automate model training, validation, and inference pipelines
- Create and annotate datasets for training, proactively requesting images from clients and internal teams and sourcing public datasets
- Read and apply knowledge from state-of-the-art scientific papers
- Use LLMs to assist with dataset generation and result validation
- Ensure code quality through best practices, testing, and peer review
- Contribute to continuous improvements in development and experimentation processes.
Requirements
What you’ll need- Degree in Electrical Engineering, Electronics, Computer Science, or a related field
- Knowledge of image and video processing and deep learning applied to computer vision
- Experience programming in Python
- Familiarity with automated software testing
- Basic knowledge of Linux
- Experience with deep learning frameworks such as PyTorch, TensorFlow, and others
- Code versioning with Git
- Good programming practices and familiarity with agile methodologies
Benefits
Comp & perks- Health and dental insurance
- TotalPass
- Clude
- Flash
- Birthday day off
- Exceptional networking opportunities