Computer Vision Developer

7 days ago

Bengaluru, Karnataka, India Okulr Techminds Full time ₹ 6,00,000 - ₹ 18,00,000 per year

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: 

Job Title: Computer Vision Developer

About the Role:

We are seeking a skilled and passionate 
Computer Vision Developer
 to 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 in 
    Python
     and libraries such as 
    OpenCV, NumPy, PyTorch, TensorFlow, and Keras
    .
  • Experience with 
    computer vision algorithms
    : image classification, object detection (YOLO, Faster R-CNN, SSD), semantic/instance segmentation, tracking, OCR, etc.
  • Excellent understanding of 
    deep learning architectures
     (CNNs, ResNet, EfficientNet, Vision Transformers).
  • Hands-on experience with model optimization and deployment (ONNX, TensorRT, edge AI frameworks).
  • Familiarity with tools like 
    Docker, Git, cloud platforms (AWS, GCP, Azure)
    .
  • Strong problem-solving skills and ability to work in a collaborative environment.

Preferred Skills:

  • Experience with 
    3D vision, point clouds, SLAM, AR/VR, LiDAR, or video analytics
    .
  • Knowledge of 
    MLOps pipelines
     for continuous integration and deployment of ML models.
  • Experience in 
    C++
     for performance-critical CV applications.
  • Prior experience in applying a CV in industries like healthcare, automotive, retail, or surveillance

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