Why rinf.tech?

Why do we do what we do?

We inspire one another to share our tech-works in this amazing and abundant world. So we became developers, innovators, thinkers, software builders, and hardware makers!

Our Vision!

Founded in 2006 with 650+ engineers & global presence (8 delivery centers in Europe & North America) we strive to become a leading East-European technology partner for growing organizations in need of digital transformation of their products and services!

What you’ll do

• Design and implement computer vision algorithms for tasks such as object detection, recognition, tracking, segmentation, and image classification.
• Leverage techniques from machine learning, deep learning, and image processing to achieve accurate and robust results.
• Optimize algorithms for real-time performance on embedded devices or web applications.
• Architect computer vision systems to meet specific requirements and objectives.
• Define system components and workflows for data acquisition, preprocessing, feature extraction, and inference.
• Collaborate with software engineers to integrate computer vision technology into large-scale software systems.
• Train, fine-tune, and optimize computer vision models using machine learning frameworks and deep learning libraries.
• Experiment with different network architectures, loss functions, and optimization techniques to improve model performance.
• Evaluate model performance using appropriate metrics and benchmarks.
• Analyze results and iteratively refine models to achieve desired performance levels.
• Lead research and development efforts related to computer vision.
• Make critical decisions on technology adoption and contribute significantly to advancing computer vision capabilities within the organization

What you need to be successful

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related fields (qualifications can be overwritten by the relevant experience).
• Minimum 6 years of relevant experience specifically in developing computer vision applications.
• Proficiency in computer vision libraries and frameworks (e.g., OpenCV, TensorFlow, PyTorch, AutoML, Ludwig.ai).
• Understanding of neural network architectures (CNNs, RNNs).
• Strong programming skills in languages such as Python (mandatory), C++, or Java.
• Experience with GPU programming (CUDA, Vulkan, OpenCL) is a plus.
• Knowledge of image processing techniques (filtering, edge detection, feature extraction).
• Familiarity with hardware acceleration (GPUs, FPGAs).
• Analytical mindset with a passion for solving complex vision problems.
• Excellent communication skills to collaborate with interdisciplinary teams.
• Ability to work independently and contribute effectively as a team member.

Join the #PeopleofManyTalents #EngineerOfTheFuture