Responsibilities: and nbsp; and nbsp;
- Develop computer vision solutions with high-quality robust and scalable algorithms and models. and nbsp; and nbsp;
- Collaborate with cross-functional teams to coordinate project activities manage timelines and ensure milestones are met. and nbsp; and nbsp;
- 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. and nbsp; and nbsp;
- Dockerize applications and work effectively with Git and CI/CD workflows to support smooth development integration and deployment. and nbsp; and nbsp;
- Troubleshoot and resolve issues and bugs while identifying opportunities to improve existing solutions for better scalability and efficiency. and nbsp; and nbsp;
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Requirements: and nbsp; and nbsp;
- Experience in Python programming with proficiency in Git and Docker containerization. and nbsp; and nbsp;
- Experience contributing to the development of computer vision systems for surveillance applications including violation detection compliance monitoring and analytics. and nbsp; and nbsp;
- Familiarity with object detection techniques such as YOLO DETR RCNN and classification algorithms. and nbsp; and nbsp;
- Experience with model conversion tools like ONNX TensorRT engine and OpenVINO including precision optimization and quantization techniques (FP16 INT8). and nbsp; and nbsp;
- Experience with deep learning and vision frameworks such as PyTorch TensorFlow OpenCV and Pillow building systems optimized for CPU and GPU. and nbsp; and nbsp;
- Ability to implement high-throughput low-latency inference using tools such as TensorRT DeepStream custom CUDA kernels and Triton Inference Server. and nbsp; and nbsp;
- Good problem-solving skills and eagerness to learn new technologies and techniques. and nbsp; and nbsp;
- Ability to collaborate effectively within a team and communicate technical concepts clearly. and nbsp; and nbsp;
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Good to Have: and nbsp; and nbsp;
- Experience with fine-tuning vision-language models (VLM). and nbsp; and nbsp;
- Knowledge of advanced model quantization techniques beyond FP16 and INT8. and nbsp; and nbsp;
- Familiarity with cloud platforms and deployment tools. and nbsp; and nbsp;
- Understanding of data annotation and augmentation strategies for CV tasks. and nbsp; and nbsp;
- Exposure to real-time video processing and multi-camera systems. and nbsp; and nbsp;
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How we work: and nbsp; and nbsp;
- We use Microsoft Teams for daily communication conduct daily standups and team meetings over Teams. and nbsp; and nbsp;
- We value open discussion ownership and a founder mindset. and nbsp; and nbsp;
- We prioritize design amazing UI/UX documentation to-do lists and data-based decision-making. and nbsp; and nbsp;
- We encourage team bonding through bi-weekly town halls destressing sessions with a certified healer and fun company retreats twice a year. and nbsp; and nbsp;
- 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. and nbsp; and nbsp;
- Wobot is an Equal Opportunity Employer and nbsp; and nbsp;
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. and nbsp;