Computer Vision Engineer (Bangalore,6-8 years)

Tata Consultancy Services; Bengaluru; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Tata Consultancy Services in Bengaluru seeks a skilled computer vision specialist to design, develop, and deploy CV models for real-world applications. You will implement and fine-tune deep learning models for vision tasks and contribute to synthetic data pipelines.

The role requires hands-on work with edge devices and trend-aware optimization, with collaboration across cross-functional teams to integrate CV solutions into products and MLOps workflows.

Qualifications

• Must have strong experience in computer vision techniques for real-world applications.
• Expertise in deep learning models for vision tasks (VLMs, GANs, CNNs).
• 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).

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.

Skills

Computer Vision

Deep learning models

PyTorch / TensorFlow / Python

Edge AI platforms

Synthetic data pipelines

Job description

Job Description:

Job Requirements:

Must Have Technical Skills

• Strong 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).

Good-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