Senior Computer Vision Engineer

Ctruh; Bengaluru; On-site; INR 2,400,000 - 4,000,000; Full time

Job summary

Ctruh in Bengaluru is hiring a Senior AI Computer Vision Engineer. This is a hands-on, individual contributor role shaping production-grade vision systems for next-generation 3D experiences, spatial computing, and immersive AR/MR/XR applications.

You will work across CV, multimodal learning, edge deployment, and ML infrastructure to build scalable pipelines, optimize models for edge hardware with CUDA/TensorRT, and ship reliable AI services alongside a skilled engineering team.

Qualifications

• 5+ years of experience in computer vision, deep learning, and AI.

Responsibilities

• Design and deploy intelligent vision systems powering 3D experiences.

Skills

Computer Vision

Deep Learning

Python

End-to-end ML pipelines

Edge deployment

Production-grade systems

Education

MS/PhD in CS/AI

Tools

PyTorch

TensorFlow

OpenCV

CUDA

Git

Job description

About Us

Ctruh is a deep-tech company building the infrastructure layer for the spatial internet through a proprietary browser-native, no-code 3D engine and VersaAI, our in-house generative AI engine that transforms text, images, and video into production-ready 3D assets in minutes.

Our Work Rhythm

This is a 6-day working setup with Monday to Friday operating from office and Saturday as Work From Home (WFH). We believe this model enables stronger collaboration, faster learning, and better team alignment while maintaining flexibility.

About The Role

We’re hiring a Senior AI Computer Vision Engineer with deep expertise in computer vision, deep learning, 3D perception, and production AI systems. This is a 100% hands-on individual contributor role where you’ll design and deploy intelligent vision systems powering next-generation 3D experiences, spatial computing, and immersive AR/MR/XR applications. You’ll work across computer vision, multimodal learning, edge AI deployment, 3D reconstruction, and ML infrastructure to build scalable, production-grade AI systems.

Key Responsibilities

• Computer Vision & 3D Perception
• Build advanced image understanding and scene analysis pipelines
• Develop 3D reconstruction and spatial understanding systems from multi-view inputs
• Design depth estimation, pose estimation, and camera calibration solutions
• Implement object detection, segmentation, tracking, and feature extraction models
• Build scene understanding and semantic mapping pipelines
• Develop image enhancement, preprocessing, and intelligent data workflows
• Create real-time perception systems for AR/MR/XR applications
• Enable ML-driven visual analytics and spatial intelligence
• Deep Learning & AI Model Development
• Design and optimize deep learning architectures for visual intelligence
• Train and fine-tune CNNs, transformers, MLLMs, and multimodal models
• Build perception, recognition, classification, and prediction systems
• Experiment with state-of-the-art AI approaches for visual computing
• Develop augmentation, evaluation, and continuous improvement pipelinesRapidly prototype using latest research and emerging frameworks
• Edge AI & Production Deployment
• Build end-to-end ML pipelines including ingestion, preparation, training, and deployment
• Deploy optimized models across edge environments and production systems
• Improve latency, throughput, and power efficiency for inference workloads
• Optimize models using TensorRT, CUDA, and hardware acceleration techniques
• Design scalable deployment architectures
• Implement monitoring, validation, and model lifecycle management
• ML Infrastructure & System Engineering
• Develop scalable AI services and modular deployment frameworks
• Build APIs and reusable AI components
• Implement CI/CD pipelines for ML workloads
• Containerize and orchestrate systems using modern infrastructure tooling
• Support annotation, validation, and production-quality operations
• Monitor model performance, drift, and reliabilityResearch & Innovation
• Stay updated with advances in AI, computer vision, and 3D perception
• Prototype solutions using latest multimodal and vision technologies
• Evaluate and integrate open-source frameworks into production
• Contribute to architecture decisions and technical strategy
• Document learnings and share technical insights internally

Must-Have Skills & Experience

• 5+ years of experience in Computer Vision, Deep Learning, and AI
• Strong experience building production-grade AI systems
• Deep understanding of computer vision and deep learning algorithms
• Strong Python and software engineering fundamentals
• Experience with end-to-end ML training and deployment pipelines
• Hands-on expertise with PyTorch, TensorFlow, and OpenCV
• Experience optimizing models for edge deployment

Highly Desirable

• Experience in product visualization, advertising, or fashion content
• Familiarity with AI video pipelines and multi-frame consistency
• Knowledge of LoRA training, fine-tuning, or custom model workflows
• Understanding of branding and visual identity systems
• Exposure to 3D workflows or hybrid AI + 3D pipelines

Who Will Thrive Here?

You’ll thrive at Ctruh if you enjoy solving complex technical challenges, taking ownership from research to production, and working at the intersection of AI, Computer Vision, 3D perception, and immersive technologies. This role is ideal for builders who love experimenting with cutting-edge technologies, shipping real world solutions, and continuously learning in a fast-moving, innovation-driven environment.

Why Join Ctruh

Join Ctruh to work on next-generation AI-powered visual intelligence systems that blend Computer Vision, Deep Learning, 3D technologies, and Spatial Computing. You'll have the opportunity to build impactful products, work with modern AI infrastructure and GPU technologies, collaborate with a highly skilled engineering team, and contribute directly to shaping the future of immersive digital experiences.