Computer Vision Engineer

Responsibilities:

• Develop computer vision solutions with high-quality, robust, and scalable algorithms and models.  
• Collaborate with cross-functional teams to coordinate project activities, manage timelines, and ensure milestones are met.  
• Manage the training, evaluation, and fine-tuning of advanced deep learning models for tasks such as object detection, classification, object tracking, and work with models like CLIP and VLM.  
• Dockerize applications and work effectively with Git and CI/CD workflows to support smooth development, integration, and deployment.  
• Troubleshoot and resolve issues and bugs, while identifying opportunities to improve existing solutions for better scalability and efficiency.  

Requirements:

• Experience in Python programming, with proficiency in Git and Docker containerization.  
• Experience contributing to the development of computer vision systems for surveillance applications, including violation detection, compliance monitoring, and analytics.  
• Familiarity with object detection techniques such as YOLO, DETR, RCNN, and classification algorithms.  
• Experience with model conversion tools like ONNX, TensorRT engine, and OpenVINO, including precision optimization and quantization techniques (FP16, INT8).  
• Experience with deep learning and vision frameworks such as PyTorch, TensorFlow, OpenCV, and Pillow, building systems optimized for CPU and GPU.  
• Ability to implement high-throughput, low-latency inference using tools such as TensorRT, DeepStream, custom CUDA kernels, and Triton Inference Server.  
• Good problem-solving skills and eagerness to learn new technologies and techniques.  
• Ability to collaborate effectively within a team and communicate technical concepts clearly.  

Good to Have:

• Experience with fine-tuning vision-language models (VLM).  
• Knowledge of advanced model quantization techniques beyond FP16 and INT8.  
• Familiarity with cloud platforms and deployment tools.  
• Understanding of data annotation and augmentation strategies for CV tasks.  
• Exposure to real-time video processing and multi-camera systems.  

How we work:

• We use Microsoft Teams for daily communication, conduct daily standups and team meetings over Teams.  
• We value open discussion, ownership, and a founder mindset.  
• We prioritize design, amazing UI/UX, documentation, to-do lists, and data-based decision-making.  
• We encourage team bonding through bi-weekly town halls, destressing sessions with a certified healer, and fun company retreats twice a year.  
• We offer a 100% remote workplace model, health insurance, top performers eligible for attractive equity options, mental health consultations, company-sponsored upskilling courses, growth hours, the chance to give back with 40 hours for community causes, and access to a financial advisor.  
• Wobot is an Equal Opportunity Employer  

If you have a passion for developing innovative computer vision solutions and want to work on cutting-edge technology, we encourage you to apply for this exciting opportunity.