Job Description:

Job Requirements:

Must Have Technical Skills
Solid experience in Computer Vision techniques such as object detection, image/video segmentation, and multi-object tracking.
Expertise in deep learning models including VLMs, GANs, and CNN-based architectures for vision tasks.
Hands-on experience with PyTorch / TensorFlow and Python.
Experience working on Edge AI platforms (NVIDIA, Qualcomm, or similar edge devices).
Exposure to synthetic data generation pipelines (custom or standard platforms).

Valuable-to-Have Skills:
Knowledge of MLOps pipelines, model deployment, and monitoring
Experience in model optimization and performance tuning
Familiarity with cloud platforms or distributed training environments

Key Responsibilities:




Design, develop, and deploy computer vision models for real-world applications
Implement, train, and fine-tune deep learning models for vision-based tasks
Develop and optimize synthetic data pipelines for training robustness
Deploy AI models on edge devices ensuring performance and scalability
Collaborate with cross-functional teams to integrate CV solutions into products
Perform model evaluation, debugging, and performance optimization
Contribute to MLOps workflows and automation pipelines

📌 Computer Vision Engineer Bangalore,6 8 Years Karnataka (India)
🏢 Tata Consultancy Services
📍 India