CTRUH - Senior AI/ML Engineer Gen AI & comp Vision

About CTRUH :-

Empowering users to effortlessly design,construct, and navigate 3D spaces. With Ctruh, creativity isn't limited by Coding skills-it's only limited by imagination because Innovation starts when you make the complex things simple." "We're here to make 3D creation dead-simple for everyone in order to bring immersive experiences to life, whether you're a business owner or an individual."

Founded CTRUH in January, 2023

After a decade of corporate career, destiny came knocking for Vinay Agastya, and the idea was incorporated on 1st January 2023.Empower everyone to create lifelike 3D experiences.
on the web without coding mumbo-jumbo!The journey of Ctruh has been remarkable. After countless nights of brainstorming and critical feature discussions, the team successfully developed a comprehensive no-code/low-code, web-based 3D editor. Enhanced by applications such as the immersive virtual storefront, real estate virtual tour, and automobile showroom experiences, Ctruh now offers tailored, ready-to-deploy solutions that empower both businesses and individuals to leverage immersive content effectively.

Role:

Senior AI/ML Engineer - Computer Vision & Generative AI

The Role:
We're hiring a Senior AI/ML Engineer with deep expertise in computer vision, generative
AI, and production-grade ML systems. This is a 100% hands-on individual contributor
role where you'll build the AI engines behind our platform-automated image processing,
generative content creation, intelligent workflows, and large-scale ML pipelines.
You'll work across computer vision, generative models, automation, and ML infrastructure to
deliver production-ready AI systems.
What You'll Build:
1. Computer Vision & Image Understanding
Product image analysis, object detection, segmentation
Automated background removal, image enhancement, preprocessing
Classification, attribute extraction, and visual search systems
Quality assessment and edge-case detection models
Depth estimation and scene understanding from 2D images
Real-time object detection for AR try-on
Multi-view image analysis and camera pose estimation
2. Generative AI & Content Creation
Fine-tune generative models for visual and marketing asset creation
Text-to-image and image-to-image model pipelines
AI-generated product descriptions, tags, and metadata
Work with diffusion models, GANs, transformers
Texture generation, style transfer, image editing tools
Synthetic data generation pipelines
Experiment with the latest foundation models and diffusion techniques
3. Intelligent Automation & ML Systems
End-to-end automation for large-scale product catalog processing
Recommendation and personalization models
Automated workflows for QC, moderation, and validation
Predictive models for engagement and conversion
Anomaly detection and platform monitoring
Continuous learning and self-improving systems
4. Production ML Infrastructure
Deploy/optimize ML models on AWS
Build scalable inference pipelines (low latency, high throughput)
Implement model versioning, A/B testing, CI/CD for ML
Data pipelines for annotation, augmentation, and quality control
Optimize models for speed, efficiency, and cost
Monitoring systems for drift, quality, and performance
APIs/microservices for ML model serving
5. Research & Innovation
Explore latest AI/ML trends and cutting-edge models
Prototype quickly with state-of-the-art models (GPT-4V, Diffusion, SAM, etc.)
Integrate open-source tools into our production stack
Run feasibility experiments and contribute to model architecture decisions
Document learnings and share insights internally
Technical Stack:
1. AI/ML Frameworks
PyTorch, TensorFlow, Hugging Face
OpenCV, YOLO, Detectron2
Stable Diffusion, ControlNet, Diffusers
scikit-learn, XGBoost
2. Deployment & Infrastructure
FastAPI, ONNX, TorchScript, TensorRT
AWS (SageMaker, Lambda, EC2, S3)
Docker, Kubernetes
PostgreSQL, Redis, MongoDB, Pinecone
3. Languages & APIs
Python (primary), JavaScript/Node.js (working knowledge)
REST, GraphQL, WebSocket
4. Nice to Have (3D/Graphics)
Understanding of rendering pipelines
Familiarity with glTF/USDZ
Experience with Three.js or Unity/Unreal
What We're Looking For:
1. Must-Haves
5-8+ years experience in AI/ML, strong computer vision background
Deep expertise in PyTorch/TensorFlow
Production ML deployment experience
Strong understanding of CNNs, transformers, detection, segmentation
Hands-on experience with diffusion models or GANs
Strong Python skills and ML system design
Cloud experience (AWS/GCP/Azure)
Proven record of shipping ML products
Passion for experimenting with new AI models
2. Highly Desirable
Experience in e-commerce/retail imaging or content pipelines
Background in automation and intelligent workflow systems
Recommendation/personalization experience
Familiarity with multimodal models (vision + language)
Experience with neural rendering or 3D generation
Open-source contributions or research publications
Real-time inference optimization
Strong MLOps understanding
Ability to build end-to-end ML-driven features
Problems You'll Solve:
Automating large-scale product image processing
Generating high-quality product visuals at scale
Extracting structured attributes from image datasets
Reducing manual processes with intelligent automation
Optimizing inference speed and cost
Personalizing user experiences with ML
Monitoring and evaluating models reliably in production
Why Ctruh:
Work across CV + GenAI + Automation + NLP
Cutting-edge models and modern AI stack
High-impact role influencing millions of shoppers
Culture of experimentation and rapid iteration
Strong learning environment and research access
Small team high visibility, big ownership
Supported by Microsoft, NVIDIA, Google, AWS
Location & Culture:
Location: Bengaluru
Schedule: 6 days a week, (5 days-in-office, Saturdays WFH)
Culture: Fast-paced, experimentation-driven, shipping mindset
Team: Highly skilled engineers focused on impact
Resources: GPU compute, tools, research access
Compensation:
Competitive salary
Significant stock options (4-year vesting)
Performance-based bonuses
The Ideal Candidate:
You're an AI builder who loves experimenting and shipping. You've worked with diffusion
models, vision transformers, SAM, GPT-4 Vision, and more. You enjoy switching between
computer vision, generative models, automation, and production ML.
You care about impact - delivering models that actually improve product experiences. You
move fast, choose the right tools, prototype quickly, and optimize for production. You thrive in
environments where you can innovate daily and own systems end-to-end