Role
Senior AI/ML Engineer - Computer Vision & Generative AI
Company
Ctruh
The Role
Were 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 youll build the AI engines behind our platformautomated image processing, generative content creation, intelligent workflows, and large-scale ML pipelines.
Youll work across computer vision, generative models, automation, and ML infrastructure to deliver production-ready AI systems.
What Youll Build
- 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
- 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
- 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
- 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
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
PyTorch, TensorFlow, Hugging Face
OpenCV, YOLO, Detectron2
Stable Diffusion, ControlNet, Diffusers scikit-learn, XGBoost
- Deployment & Infrastructure
FastAPI, ONNX, TorchScript, TensorRT
AWS (SageMaker, Lambda, EC2, S3)
Docker, Kubernetes
PostgreSQL, Redis, MongoDB, Pinecone
Python (primary), JavaScript/Node.js (working knowledge)
REST, GraphQL, WebSocket
- Nice to Have (3D/Graphics)
Understanding of rendering pipelines
Familiarity with glTF/USDZ
Experience with Three.js or Unity/Unreal
What Were Looking For
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
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 Youll 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
Youre an AI builder who loves experimenting and shipping. Youve 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.
To Apply
Please include the following:
Your updated resume/CV, including links to your GitHub, portfolio, or relevant work
Samples or demos of AI/ML projects you have built
Links to any publications, technical blogs, or open-source contributions
A short note describing your most interesting ML project and why youre excited about the opportunity at Ctruh
