Computer Vision Developer

Okulr Techminds

0 years

0 Lacs

bengaluru karnataka india

Posted:3 days ago| Platform:

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Skills Required

vision developer ai video analytics iot data recognition management algorithms processing learning design tracking annotation extraction segmentation software research opencv numpy pytorch tensorflow ocr model optimization deployment onnx docker git aws gcp collaborative vr lidar integration ml healthcare

Work Mode

On-site

Job Type

Full Time

Job Description

Okulr Techminds

To know more, visit: www.okulr.com

Job Title: Computer Vision Developer

About the Role:

Computer Vision Developer

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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