python developer for computer vision

Grid Dynamics provides technology consulting, platform and product engineering, AI, and advanced analytics services. It helps enterprise companies solve technical challenges and achieve business outcomes during business transformation.

• Develop and maintain production-grade Python applications and services;
• Build and support computer vision and AI/ML pipelines;
• Develop data processing and integration components for AI-based solutions;
• Containerize applications using Docker and maintain production environments;
• Work with AWS cloud services, computing, and storage solutions;
• Develop and optimize software for Linux-based and edge environments;
• Integrate Python applications with AI/ML and computer vision components;
• Build and maintain CI/CD pipelines, automated tests, and regression testing;
• Develop reusable Python packages and maintain internal libraries;
• Work with AI edge devices and resource-constrained environments.

• 4+ Years of professional experience with Python;
• Strong experience developing production software with Python;
• Hands-on experience with Computer Vision, AI/ML, or image processing;
• Strong experience with Docker and containerization;
• Proficiency with Git and modern version-control workflows;
• Strong Linux skills and experience working in Linux environments;
• Experience with AWS or another major cloud platform;
• Understanding of CI/CD, automated testing, unit testing, and regression testing;
• Experience with Python packaging and PyPI;
• Experience developing and maintaining production-quality software;
• Understanding of AI/ML development workflows;
• Bachelor's degree in Computer Science, Computer Engineering, or a related field;
• English B2;
• Nice to have: edge computing and AI edge devices, NVIDIA technologies including NVIDIA Jetson, CUDA, or TensorRT, GStreamer or multimedia/data streaming pipelines, deploying or optimizing computer vision models on edge devices, Raspberry Pi or similar embedded platforms, machine learning and deep learning concepts, hardware-accelerated inference or ML accelerators, signal processing, ROS (Robot Operating System).

• Opportunity to work on bleeding-edge projects;
• Work with a highly motivated and dedicated team;
• Flexible schedule;
• Benefits package including medical insurance and sports;
• Corporate social events;
• Professional development opportunities;
• Well-equipped office.