Ctruh - Senior AI Computer Vision Engineer (4-10 yrs)

Description :

Role : Senior AI Computer Vision Engineer

Company : Ctruh

The Role :

Were 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 youll design and deploy intelligent vision systems powering next-generation 3D experiences, spatial computing, and immersive AR/MR/XR applications.

Youll work across computer vision, multimodal learning, edge AI deployment, 3D reconstruction, and ML infrastructure to build scalable, production-grade AI systems.

What Youll Build :

1. 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

2. 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 pipelines

- Rapidly prototype using latest research and emerging frameworks

3. 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

4. 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 reliability

5. Research & 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

Technical Stack :

1. AI / Deep Learning :

- PyTorch

- TensorFlow

- OpenCV

- Computer Vision & Deep Learning frameworks

- Multimodal Learning (MLLM) concepts

2. Programming & Systems :

- Python (Primary)

- C, C++, Objective-C, Swift

- Data Structures & Algorithms for Computer Vision

3. Deployment & Optimization :

- NVIDIA DeepStream

- TensorRT

- CUDA

- TAO Toolkit

- Docker

- Kubernetes

- CI/CD

4. Cloud & Infrastructure :

- AWS (SageMaker, Lambda, EC2, S3, RDS)

- Terraform

- Edge AI Deployment

5. 3D Graphics & Immersive Technologies (Nice to Have) :

- OpenGL

- 3D Vision

- AR / VR / MR / XR

- Spatial Computing

What Were Looking For :

1. Must-Haves :

- 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

- Strong mathematical foundation in linear algebra, calculus, and statistics

2. Highly Desirable :

- Experience with NVIDIA platforms (IGX, Jetson, Xavier)

- Hands-on experience with TensorRT, CUDA, DeepStream, and TAO Toolkit

- Understanding of GPU architecture and parallel computing

- Exposure to 3D reconstruction and spatial analysis

- Experience integrating AI into rendering or graphics pipelines

- Cloud-native ML deployment and infrastructure experience

Problems Youll Solve :

- Build scalable perception systems for real-world applications

- Create intelligent pipelines for 3D reconstruction and scene understanding

- Deploy optimized AI systems on edge environments

- Improve speed, cost efficiency, and model quality

- Enable immersive experiences powered by visual intelligence

- Bridge AI and graphics for next-generation digital experiences

Why Ctruh :

- Work across AI + Computer Vision + 3D + Spatial Computing

- Exposure to cutting-edge AI and immersive technologies

- High ownership with end-to-end system impact

- Fast-paced experimentation and shipping culture

- Strong learning environment and modern tooling

- Solve challenging, globally relevant problems

Location & Culture :

Location : Bengaluru

Mode : On-site (Mon - Fri WFO and Saturdays WFH)

- Fast-paced and experimentation-driven culture

- Highly skilled engineering team

- Access to GPU infrastructure and modern research tools

Compensation :

- Competitive salary

- Performance-based incentives

- Health insurance and wellness benefits

- Professional growth opportunities

- Exposure to innovative technologies

The Ideal Candidate :

Youre an engineer who enjoys building intelligent systems from research to production. Youre comfortable working across computer vision, deep learning, edge optimization, ML infrastructure, and 3D perception, and thrive in environments where ownership, experimentation, and shipping matter.