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We are processing vast data for Advanced Driver Assistance Systems (ADAS). We are seeking a highly skilled Software Engineer with expertise in Deep Learning, Computer Vision, and Data Processing. The ideal candidate will have strong problem-solving abilities, experience in architecture design, and hands-on knowledge of AWS, Azure. This role requires proficiency in Python, SQL, working knowledge of CI/CD and cloud engineering best practices is also essential.If you are passionate about AI-driven software engineering and have the skills to thrive in a cloud-first, deep learning environment, we encourage you to apply!
Key Responsibilities:
• Build and maintain scalable software architectures to support AI-driven applications.
• Develop data pipelines to preprocess and manage large datasets efficiently.
• Implement CI/CD pipelines to automate model training, deployment, and software releases.
• Deploy and maintain machine learning and deep learning models on AWS, Azure.
• Collaborate with cross-functional teams to integrate AI solutions into production systems.
• Troubleshoot and resolve performance bottlenecks in both cloud and on-premisesenvironments.
• Maintain best practices for code quality, version control, and system reliability.
Requirements
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• Strong experience with deep learning frameworks (TensorFlow, PyTorch, OpenCV, etc.).
• Hands-on experience with computer vision techniques and image processing.
• A minimum of 5 years of experience in Python for software development.
• Expertise in any Python framework (Django, Fast API...) for backend development and database systems such as MySQL or PostgreSQL
• Familiarity with cloud platforms (AWS, Azure) and cloud engineering best practices.
• Knowledge of containerization and deployment (Docker, Kubernetes, Lambda, ECS, etc.).
• Strong problem-solving skills and ability to design scalable, maintainable architectures.
• A strong focus on high-performance computing and experience optimizing queries