Role Overview
We are looking for a seasoned Senior Computer Vision Engineer with over 6 years of experience in developing and deploying advanced vision-based AI systems. As a senior member of our team, you will take ownership of key projects, mentor junior engineers, and work collaboratively with stakeholders to design state-of-the-art solutions that redefine industry standards.

Key Responsibilities

• Architect, design, and implement complex computer vision solutions for tasks such as object detection, 3D reconstruction, segmentation, and video analytics.

• Lead the development and optimization of deep learning models for scalability and efficiency.

• Drive technical decisions, ensuring the robustness and scalability of computer vision systems in production.

• Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to deliver innovative solutions.

• Stay ahead of the curve by researching and integrating the latest advancements in computer vision and AI technologies.

• Mentor and guide junior engineers, fostering a culture of innovation and excellence.

• Manage project timelines, deliverables, and stakeholder expectations effectively.

Required Skills & Qualifications

• Bachelor’s, Master’s, or Ph.D. in Computer Science, Electrical Engineering, or related fields.

• 6+ years of hands-on experience in computer vision, deep learning, and machine learning.

• Expertise in Python, with proficiency in libraries such as OpenCV, TensorFlow, and PyTorch.

• In-depth knowledge of advanced neural network architectures (e.g., Vision Transformers, GANs, and Siamese Networks).

• Strong understanding of image and video processing, feature extraction, and camera calibration.

• Proven track record of deploying scalable vision systems in production environments.

• Experience with cloud platforms (AWS, GCP, Azure), containerization (Docker, Kubernetes), and edge devices.

• Exceptional problem-solving, debugging, and analytical skills.

• Excellent communication skills with the ability to lead technical discussions and present solutions to stakeholders.

Preferred Qualifications

• Experience with 3D vision, LiDAR, SLAM, or multi-view geometry.

• Knowledge of robotics, autonomous systems, or AR/VR applications.

• Hands-on experience with multi-camera systems and hardware-software integration.

• Familiarity with frameworks for real-time processing (e.g., NVIDIA TensorRT, ONNX).

What We Offer

• A competitive salary and generous performance-based bonuses.

• Leadership opportunities in a fast-growing, innovative company.

• Access to cutting-edge tools, resources, and technologies.

• A dynamic, inclusive, and collaborative work culture.

• End to End Product Development Experience.

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