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Salary
≈ $10k – $28k per year (Estimated)
Location
In office (Noida)
Seniority
Middle

Confirmed on the employer's own hiring board on Nov 1, 2026. First seen by Alion on Oct 29, 2026.

Overview
Company
Impact
Profile match
HCLTech is a major Indian multinational information technology (IT) services and consulting company headquartered in Noida, Uttar Pradesh. Spun off from the original HCL Group in 1991, it ranks as one of India's largest technology companies alongside firms like TCS, Infosys, and Wipro.

Job Summary

VisionX is HCLTech's Physical AI platform focused on delivering intelligent computer vision solutions for manufacturing, logistics, retail, smart spaces, and industrial automation. We are looking for a passionate Computer Vision Developer to design, develop, and deploy scalable vision AI solutions leveraging deep learning, edge AI, and cloud technologies.

Key Responsibilities

Design, develop, and optimize Computer Vision solutions for: Object Detection, Image Classification, Semantic & Instance Segmentation, OCR & Document AI, Pose Estimation, Video Analytics, Anomaly Detection.

Train, fine-tune, and evaluate deep learning models using large-scale image and video datasets. Develop AI pipelines from data collection, preprocessing, model training, inference, and deployment.

Optimize AI models using ONNX, TensorRT, OpenVINO, and CUDA for real-time inference.

Improve model accuracy, latency, throughput, and resource utilization.

Integrate Computer Vision models with enterprise applications and IoT platforms.

Collaborate with Full Stack, DevOps, and Edge AI teams for production deployments.

Develop data augmentation pipelines and synthetic data generation techniques.

Skill Requirements

Strong programming experience in Python

OpenCV

PyTorch

TensorFlow

Vision Transformers (ViT)

OCR Frameworks

Understanding of image processing, video analytics, and deep learning fundamentals.

Other Requirements

Good to have:

Familiarity with Azure, AWS, or GCP environments.

Knowledge with NVIDIA Jetson platforms.

Knowledge of CUDA, TensorRT, DeepStream SDK.

Exposure to real-time edge AI deployments.

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