Computer Vision Developer

2 days ago

Bengaluru India Okulr Techminds Full time

Job Description

We're Okulr Techminds, an AI, video analytics, and IoT company based in Bangalore. We're a product company with various products in the Data Analytics, Video Analytics, and IOT, with products in Face recognition, Intelligent Traffic Management, Retail digital transformation analytics, predictive medical analytics, Smart Poles & more.

To know more, visit:www.okulr.com

Job Title:Computer Vision Developer

About the Role:

We are seeking a skilled and passionateComputer Vision Developerto join our team. You will be responsible for building, optimizing, and deploying computer vision models and algorithms to solve real-world challenges. The role requires strong expertise in image/video processing, machine learning/deep learning frameworks, and an ability to translate business requirements into scalable technical solutions.

Key Responsibilities:

- Design, develop, and deploy computer vision solutions for tasks such as object detection, recognition, tracking, and classification, as well as Face recognition, License plate recognition & more.
- Work with image/video datasets: data collection, cleaning, annotation, and augmentation.
- Implement and optimize deep learning models (CNNs, GANs, RNNs, Transformers, etc.) for vision-based applications.
- Apply algorithms for 2D/3D vision problems, including feature extraction, segmentation, and pose estimation.
- Optimize models for performance on edge devices, cloud platforms, or GPUs.
- Collaborate with software engineers, product managers, and data scientists to integrate vision solutions into products.
- Conduct research and stay updated on the latest advancements in computer vision and AI.

Required Skills & Qualifications:

- Bachelor's/Master's in Computer Science, AI, Data Science, or a related field.
- Strong proficiency inPythonand libraries such asOpenCV, NumPy, PyTorch, TensorFlow, and Keras.
- Experience withcomputer vision algorithms: image classification, object detection (YOLO, Faster R-CNN, SSD), semantic/instance segmentation, tracking, OCR, etc.
- Excellent understanding ofdeep learning architectures(CNNs, ResNet, EfficientNet, Vision Transformers).
- Hands-on experience with model optimization and deployment (ONNX, TensorRT, edge AI frameworks).
- Familiarity with tools likeDocker, Git, cloud platforms (AWS, GCP, Azure).
- Strong problem-solving skills and ability to work in a collaborative environment.

Preferred Skills:

- Experience with3D vision, point clouds, SLAM, AR/VR, LiDAR, or video analytics.
- Knowledge ofMLOps pipelinesfor continuous integration and deployment of ML models.
- Experience inC++for performance-critical CV applications.
- Prior experience in applying a CV in industries like healthcare, automotive, retail, or surveillance

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