Senior Software Developer – Computer Vision

We are seeking a highly skilled and experienced Senior Software Developer to join our dynamic team. In this role, you will lead the development and deployment of scalable computer vision solutions, with a focus on video processing and anomaly detection. You will play a critical role in building a robust, large-scale computer vision platform, leveraging your expertise in Python and cutting-edge computer vision libraries.

• Design, develop, and deploy advanced computer vision solutions for real-time video processing and anomaly detection.

• Implement and optimize deep learning models, leveraging frameworks like YOLO (Ultralytics) and MMDetection for object detection and classification tasks.

• Build scalable, production-ready pipelines that can handle large volumes of video data efficiently.

• Collaborate with cross-functional teams to define requirements, design robust architectures, and deliver high-quality software solutions.

• Continuously research and integrate the latest advancements in computer vision and deep learning into the platform.

• Write clean, maintainable, and well-documented Python code.

• Mentor junior team members and foster a collaborative and supportive environment.

• 5+ years of experience as a software developer with a strong emphasis on Python.

• Proven experience working with computer vision frameworks, particularly YOLO (Ultralytics) and MMDetection.

• Hands-on experience in building scalable and reliable solutions for video data processing and real-time analysis.

• Deep understanding of computer vision concepts, such as object detection, tracking, and anomaly detection.

• Familiarity with cloud-based architectures and containerization technologies (e.g., Docker, Kubernetes) to support large-scale deployments.

• Strong problem-solving skills and a passion for exploring new technologies.

• Proficiency in English, both written and spoken.

• Team player with a collaborative mindset and a positive attitude.

• Experience with GPU acceleration for video and image processing workloads.

• Familiarity with streaming video frameworks and real-time data processing (e.g., GStreamer, FFmpeg).

• Knowledge of performance profiling and optimization of deep learning models.

• Experience with CI/CD pipelines and DevOps practices.

• Ability to present complex technical concepts to non-technical stakeholders clearly.

• Proactive and self-motivated with a drive to deliver outstanding results.

• Adaptable and open to feedback, with a growth mindset.

• Strong attention to detail and a commitment to producing high-quality work.

• A natural curiosity and enthusiasm for learning and sharing knowledge with others.