Computer Vision Engineer

V2 Solutions; Hinoba-an; On-site; PHP 796,000 - 1,592,000; Full time

Job summary

V2 Solutions in Bangalore is seeking a Computer Vision Engineer to design, develop, and deploy CV models for real-world applications.

You will train and fine-tune deep learning models for vision tasks, develop synthetic data pipelines, and deploy AI models on edge devices to ensure performance and scalability. Collaboration with product teams is key.

Qualifications

• Must have strong CV techniques experience: object detection, segmentation, tracking.
• Expertise in deep learning models for vision tasks (VLMs, GANs, CNNs).
• Hands-on with PyTorch/TensorFlow and Python.
• Experience with edge AI platforms (NVIDIA/Qualcomm).
• Exposure to synthetic data generation pipelines.

Responsibilities

• Design, develop, and deploy CV models for real-world applications.
• Train, fine-tune deep learning models for vision 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.
• Perform model evaluation, debugging, and optimization.
• Contribute to MLOps workflows and automation pipelines.

Skills

Computer Vision

Object detection

Image segmentation

Multi-object tracking

Deep learning

PyTorch

TensorFlow

Python

Edge AI

Synthetic data

MLOps

Tools

PyTorch

TensorFlow

Python

Job description

Role

Computer Vision Engineer

Location

Bangalore

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.

Role & 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.