About Reliance Intelligence

Reliance Intelligence is a Reliance Industries subsidiary building India’s most advanced AI-powered consumer devices. Our flagship product, JioFrames AI, is India’s first AI-powered smart eyewear — combining on-device machine learning, AR overlays, real-time translation, health monitoring, and the JioAI assistant in a sleek wearable form factor. Backed by the JioEcosystem with 450M+ users and unmatched distribution reach, we are building at the intersection of hardware, AI, and consumer experience.

Roles & Responsibilities

- Build and deploy on-device ML models for JioFrames AI features — object detection, scene understanding, gesture recognition, OCR, and health sensing
- Optimize models for wearable SoC deployment using quantization (INT8/INT4), pruning, and knowledge distillation within strict power and memory budgets
- Develop and maintain real-time inference pipelines handling camera frames, microphone input, and sensor fusion on constrained hardware
- Build and fine-tune NLP models for intent recognition, wake-word detection, and command parsing running locally on JioFrames AI
- Integrate LLM capabilities for the JioAI assistant — enabling natural conversation, live translation, and contextual Q&A;




- Establish ML training pipelines, experiment tracking, and model versioning using MLflow or equivalent
- Design and implement OTA model update mechanisms to continuously improve AI capabilities post launch
- Collaborate closely with firmware, hardware, and Android teams to ship AI features end-to-end

Requirements

- 4–10 years of hands-on ML/AI engineering experience with production deployments
- Solid proficiency in PyTorch or TensorFlow and on-device inference runtimes — TFLite, ONNX Runtime, or QNN SDK
- Proven experience in model optimization for edge deployment — quantization, pruning, and latency profiling
- Solid background in computer vision — object detection, classification, OCR, or depth estimation
- Experience with NLP or multimodal AI; familiarity with LLM fine-tuning or RAG pipelines is a plus
- Comfortable working close to hardware — NPU/DSP pipelines, camera ISP, and wearable power constraints
- Strong Python skills; C/C++ and experience with Qualcomm Hexagon SDK is advantageous
- Experience shipping AI features on mobile, wearables, IoT, or embedded platforms preferred

📌 AI/ML Engineer - Conversational AI Engineer (Navi Mumbai)
🏢 Reliance Intelligence
📍 Navi Mumbai