Experience :10+ Years, 4+ Years in AI/ML, Deep Learning, or Edge AI Development

Education : B.E / B.Tech / M.E / M.Tech

Location : Bangalore

Skills required :

Advanced Python Programming (OOP, multiprocessing, multithreading, async, memory management)
Strong understanding of Deep Learning architectures, especially CNNs
Experience with Computer Vision frameworks (OpenCV, YOLO, SSD, Faster R-CNN, etc.)
Hands-on experience with training, labeling, augmentation, and evaluation of CV datasets
Experience deploying AI models on edge devices:
Nvidia Jetson (Nano/Xavier/Orin)
Raspberry Pi
Ubuntu-based Intel PCs
Strong knowledge of TensorFlow or PyTorch

Roles & Responsibility :

> Design, develop, and optimize AI applications for edge devices including Nvidia Jetson, Raspberry Pi, and Ubuntu Intel platforms.

> Build robust Python-based frameworks for model deployment, data pipelines, and automation tools.

> Train, evaluate, and deploy computer vision deep learning models, including YOLO or custom CNN architectures.

> Create and manage supervised datasets, including labeling, augmentation, curation, and quality control.

> Optimize AI models for real-time inference on edge hardware (TensorRT, ONNX, quantization).

> Develop and manage LLM and RAG-based systems, including running LLM inference locally or on edge.

> Integrate ChatGPT, Gemini, and other GenAI APIs within enterprise applications.

> Collaborate with cross-functional teams to design AI-driven features across cloud and edge ecosystems.

> Ensure adherence to Agile methodologies, code quality standards, and documentation practices.

Domain : AI/ML, Computer Vision, Edge AI, Generative AI

Project lead-AI Engineer