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-jumboThe 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), (working knowledge)
● REST, GraphQL, WebSocket
4. Nice to Have (3D/Graphics)
● Understanding of rendering pipelines
● Familiarity with glTF/USDZ
● Experience with 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