Senior Python Backend Engineer – Computer Vision & AI

About the position:

We are seeking a talented and ambitious engineer with some expertise in Machine Vision and strong development skills to join our team. To succeed in this role, you should have a track record of building computer vision services, understanding UI/UX development, building and maintaining APIs for integration, and experience with deployment efforts. A solid foundation in computer science theory, data structures, and algorithms is also required.

Requirements:

• Proven experience of at least 8 years as a Full Stack / Backend Engineer
• Technical / team leadership experience is a plus
• Experience with image / video products (hardware support, processing, storage, etc.)
• Experience with microservices architecture
• Deep understanding of multithreading and message queue environments
• Experience with deployment and system integration
• Proficiency in Python (must-have)
• Familiarity with Linux or Windows development environments
• Experience with C/C++, JavaScript / React, and Flutter is a plus
• Strong understanding of data structures, data modeling, Git, and software architecture
• Ability to write clean, robust, and maintainable code
• Fluent in English, strong communication skills, and out-of-the-box thinking
• Bachelor Degree in Computer Science / Engineering / Mathematics or similar field (Master’s / PhD is a plus)
• Understanding of Deep Learning and AI algorithms is a plus
• Experience with Docker is a plus
• Experience with databases and automation platforms is a plus
• Experience with data management and automation is a plus

Responsibilities:

• Develop software and applications based on ML algorithms
• Contribute to building core products (client/server side)
• Implement data processing and management pipelines
• Measure and optimize processing performance and query execution time
• Build a scalable backend composed of multiple AI-driven algorithms
• Collaborate closely with AI teams for system integration
• Stay updated with innovations in the field
• Help identify and technically lead strong engineering talent