Ctruh - Senior AI/ML Engineer - Computer Vision

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 you will build the AI engines behind the platform automated image processing, generative content creation, intelligent workflows, and large-scale ML pipelines.

You will 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, and segmentation.

- Automated background removal, image enhancement, and 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.

- Build text-to-image and image-to-image model pipelines.

- Generate AI-based product descriptions, tags, and metadata.

- Work with diffusion models, GANs, and transformer architectures.

- Develop texture generation, style transfer, and image editing tools.

Build synthetic data generation pipelines :

- Experiment with the latest foundation models and diffusion techniques.

Intelligent Automation & ML Systems :

- Build end-to-end automation pipelines for large-scale product catalog processing.

- Develop recommendation and personalization models.

- Implement automated workflows for quality control, moderation, and validation.

- Build predictive models for engagement and conversion.

- Implement anomaly detection and platform monitoring.

- Design continuous learning and self-improving systems.

Production ML Infrastructure :

- Deploy and optimize ML models on AWS.

- Build scalable inference pipelines with low latency and high throughput.

- Implement model versioning, A/B testing, and CI/CD for ML.

- Create data pipelines for annotation, augmentation, and quality control.

- Optimize models for speed, efficiency, and cost.

- Build monitoring systems for model drift, quality, and performance.

- Develop APIs and microservices for ML model serving.

Research & Innovation :

- Explore the latest AI/ML trends and emerging models.

- Prototype rapidly using state-of-the-art models such as GPT-4V, Diffusion, and SAM.

- Integrate open-source tools into the production stack.

- Run feasibility experiments and influence 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 services including SageMaker, Lambda, EC2, and S3.

- Docker and Kubernetes.

- PostgreSQL, Redis, MongoDB, Pinecone.

- Languages & APIs.

- Python (primary).

- JavaScript / Node.js (working knowledge).

- REST, GraphQL, WebSocket APIs.

Nice to Have (3D / Graphics) :

- Understanding of rendering pipelines.

- Familiarity with glTF or USDZ formats.

- Experience with Three.js or Unity / Unreal.

What Were Looking For :

Must-Haves :

- 5 - 8+ years of experience in AI/ML with a strong computer vision background.

- Deep expertise in PyTorch or TensorFlow.

- Experience deploying production ML systems.

- Strong understanding of CNNs, transformers, detection, and segmentation models.

- Hands-on experience with diffusion models or GANs.

- Strong Python skills and ML system design experience.

- Cloud experience with AWS, GCP, or Azure.

- Proven track record of shipping ML-powered products.

- Passion for experimenting with emerging AI models.

Highly Desirable :

- Experience in e-commerce, retail imaging, or content pipelines.

- Background in automation and intelligent workflow systems.

- Experience with recommendation or personalization systems.

- Familiarity with multimodal models combining vision and language.

- Experience with neural rendering or 3D generation.

- Open-source contributions or research publications.

- Experience optimizing real-time inference.

- Strong understanding of MLOps practices.

- Ability to build end-to-end ML-driven product 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 through intelligent automation.

- Optimizing inference speed and infrastructure cost.

- Personalizing user experiences using ML.

- Monitoring and evaluating ML models reliably in production.

Why Ctruh :

- Work across computer vision, generative AI, automation, and NLP.

- Use cutting-edge models and a modern AI stack.

- High-impact role influencing millions of shoppers.

- Culture focused on experimentation and rapid iteration.

- Strong learning environment with research exposure.

- Small engineering team with high ownership and visibility.

- Supported by Microsoft, NVIDIA, Google, and AWS.

Location : Bengaluru.

Schedule : 6 days a week (5 days in office, Saturdays work-from-home).

Culture : Fast-paced, experimentation-driven, and execution-focused.

Team : Highly skilled engineers focused on impact.

Resources : GPU compute, modern tooling, and research access.

The Ideal Candidate :

- You are an AI builder who enjoys experimenting and shipping real systems.

- You have worked with diffusion models, vision transformers, SAM, GPT-4 Vision, and similar technologies.

- You are comfortable switching between computer vision, generative models, automation systems, and production ML pipelines.

- You care about impact - building models that improve real product experiences.

- You move quickly, choose the right tools for the problem, prototype rapidly, and optimize systems for production reliability.

- You thrive in environments where you can innovate continuously and own AI systems end-to-end.

Skills : Computer Vision, Generative AI, PyTorch, TensorFlow and Huggingface.