Key Responsibilities:

- Develop and implement computer vision algorithms for image and video analysis
- Build train and optimize deep learning models CNNs transformers etc
- Work on use cases like object detection classification segmentation tracking and OCR
- Perform data preprocessing annotation and augmentation
- Optimize models for performance scalability and real time inference
- Integrate models into production systems APIs pipelines edge devices
- Collaborate with cross functional teams data engineers backend developers product teams
- Stay updated with the latest advancements in AI ML and computer vision
- Required Skills
- Robust programming skills in Python
- Hands on experience with OpenCV NumPy SciPy
- Experience with deep learning frameworks TensorFlow PyTorch Keras
- Solid understanding of computer vision techniques




- Experience with object detection frameworks YOLO Faster R CNN SSD etc
- Knowledge of image processing and video analytics
- Experience with model deployment Flask FastAPI Docker Kubernetes
- Familiarity with GPU acceleration CUDA is a plus
- Exposure to cloud platforms AWS Azure GCP

Technical Requirements:

- Primary skills Technology Artificial Intelligence Computer Vision

Additional Responsibilities:

- Experience with transformer based vision models ViT DETR
- Knowledge of MLOps pipelines and CI CD for ML
- Experience with edge AI embedded systems
- Background in mathematics statistics or related field

Preferred Skills:

Technology->AI-Data science->Computer Vision

📌 Computer Vision (India)
🏢 Infosys
📍 India