Ctruh - Senior AI/ML Engineer - Computer Vision & Generative AI

Note : If shortlisted, you will be invited for initial rounds on 20th June 2026, Saturday in Bangalore Description : 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 : 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 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 : AI/ML Frameworks : - 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 Languages & APIs : - 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 We're Looking For : 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 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 N