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Tech Stack
Tools & technologiesPythonPyTorch
About the role
Key responsibilities & impact- Develop and implement image and video analysis solutions for real-world projects (e.g., automation, object recognition, real-time systems);
- Develop and improve computer vision algorithms (object detection, tracking, segmentation);
- Train and optimize deep learning models (CNN, YOLO, etc.);
- Develop pipelines for processing images and videos;
- Integrate models into production environments (API, edge devices);
- Work with large datasets (dataset preparation, labeling, augmentation);
- Collaborate with backend, data, and product teams;
- Experiment with new methods and technologies.
Requirements
What you’ll need- More than 3 years of hands-on professional experience in the field of computer vision;
- Proficiency in Python and PyTorch is essential, with a strong understanding of their core libraries and functions;
- Hands-on experience with deep learning models (e.g., YOLO, CNN);
- Strong mathematical foundation, with a thorough understanding of key concepts in linear algebra and statistics;
- Practical experience in real-world projects.
Benefits
Comp & perks- Diverse and technically challenging projects
- Training budget for professional and personal growth
- Flexible working hours and a hybrid workplace model
- Flexible schedule and Agile/SCRUM environment
- Technical equipment that you can choose.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
image analysisvideo analysiscomputer vision algorithmsobject detectiontrackingsegmentationdeep learning modelsdataset preparationlabelingaugmentation
Soft Skills
collaborationproblem-solvingcommunication