๐ค Hiring: Career Opportunity: Senior AI/ML Engineer (Computer Vision & GenAI)
Location: Bengaluru (Bangalore)
Experience: 5–8 years
Compensation: ₹15L – ₹30L / year
Job Source: Cutshort.io
Role Overview
Hiring a Senior AI/ML Engineer with deep expertise in computer vision, generative AI, and production-grade ML systems. This is a hands-on role where you’ll build AI engines for 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 that directly impact millions of shoppers.
What You’ll Build
- Computer Vision & Image Understanding
- Object detection, segmentation, and classification.
- Automated background removal, image enhancement, and preprocessing.
- Visual search systems, depth estimation, AR try-on, and multi-view analysis.
- Generative AI & Content Creation
- Fine-tune diffusion models, GANs, and transformers.
- Build text-to-image and image-to-image pipelines.
- AI-based product descriptions, metadata generation, and synthetic data pipelines.
- Intelligent Automation & ML Systems
- End-to-end automation for product catalog processing.
- Recommendation and personalization models.
- Automated workflows for quality control, moderation, and anomaly detection.
- Production ML Infrastructure
- Deploy and optimize ML models on AWS.
- Scalable inference pipelines with low latency.
- CI/CD for ML, model versioning, monitoring, and drift detection.
- Research & Innovation
- Experiment with GPT-4V, SAM, Diffusion models.
- Prototype rapidly and integrate open-source tools.
- Influence architecture decisions and share insights internally.
Technical Stack
- Frameworks: PyTorch, TensorFlow, Hugging Face, OpenCV, YOLO, Detectron2, Stable Diffusion.
- Infrastructure: FastAPI, ONNX, TorchScript, TensorRT, AWS SageMaker, Docker, Kubernetes.
- Databases: PostgreSQL, Redis, MongoDB, Pinecone.
- Languages: Python (primary), JavaScript/Node.js.
- Nice to Have: 3D rendering pipelines, glTF/USDZ formats, Three.js, Unity/Unreal.
Must-Haves
- 5–8+ years in AI/ML with strong computer vision background.
- Deep expertise in PyTorch/TensorFlow.
- Hands-on with diffusion models or GANs.
- Strong Python skills and ML system design experience.
- Cloud experience (AWS/GCP/Azure).
- Proven track record of shipping ML-powered products.
๐ Or use this Referral Link: Apply with Referral
๐ Why Join?
- Work across computer vision, generative AI, automation, and NLP.
- High-impact role influencing millions of shoppers.
- Culture of experimentation and rapid iteration.
- Supported by Microsoft, NVIDIA, Google, and AWS.
- Access to GPU compute, modern tooling, and research resources.
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