Job Description:

- We are seeking a Computer Vision Engineer to design develop and deploy image and video based AI models for real world applications
- The role focuses on building and optimizing deep learning models for visual data including tasks such as object detection image classification segmentation and video analytics

Key Responsibilities:

- Model Development
- Develop and train computer vision models for
- Image classification
- Object detection YOLO Faster R CNN SSD
- Image segmentation U Net Mask R CNN
- Work with deep learning frameworks like TensorFlow PyTorch
- Data Processing Annotation
- Work with large scale image video datasets
- Perform
- Data preprocessing
- Augmentation
- Annotation handling
- Model Optimization Deployment
- Optimize models for
- Performance
- Accuracy
- Low latency
- Deploy models as
- APIs
- Edge cloud based solutions
- Pipeline Development




- Build end to end pipelines for
- Data ingestion
- Training
- Evaluation
- Deployment
- Collaboration
- Work closely with
- ML Engineers
- Backend developers
- Product teams
- Translate use cases into scalable CV solutions

Technical Requirements:

- Strong Python programming
- Experience with Computer Vision techniques
- Hands on with
- OpenCV
- PyTorch TensorFlow
- Positive understanding of
- CNNs Convolutional Neural Networks
- Image processing concepts

Additional Responsibilities:

- Object Detection YOLO SSD Faster R CNN
- Image Segmentation U Net Mask R CNN
- Image Classification
- Feature extraction image transformations

Preferred Skills:

Technology->AI-Data science->Computer Vision

📌 Computer Vision Engineer (Bengaluru)
🏢 Infosys
📍 Bengaluru