AI Engineer Computer Vision & Physiological Signal Analysis 5ive.ai

3.0 - 8.0 years

10 - 20 Lacs

Noida

Work from Office

Role Summary As an AI Engineer , you will lead the development and deployment of real-time AI modules for facial analysis and vital sign estimation based on video streams. Key Responsibilities Research, prototype, and productionize computer vision models for: Facial expression recognition (emotion classification) Remote photoplethysmography (rPPG) for BPM estimation SpO estimation from RGB video signals Preprocess webcam images for signal enhancement (ROI extraction, denoising) Integrate ML models into the backend (FastAPI-based), processing real-time webcam input Optimize models for latency, accuracy, and resource usage (on CPU/GPU) Deploy AI models as Dockerized microservices (REST/WS-based inference APIs) Work with frontend and backend teams to ensure seamless model integration Conduct internal validation, A/B testing, and ongoing calibration Tech Stack / Tools Languages : Python (must), PyTorch or TensorFlow CV/ML Libraries : OpenCV, Mediapipe, dlib, scikit-learn Signal Processing : numpy/scipy, rPPG libraries (e.g., DeepPhys, MTTS-CAN) Deployment : FastAPI, Docker, ONNX, TorchScript Infra : Redis, PostgreSQL, AWS (GPU EC2, S3, ECS) Required Skills 3+ years of experience building computer vision or bio-signal AI models Hands-on experience with facial emotion recognition using CNNs/RNNs/transformers Familiarity with rPPG-based BPM & SpO estimation from webcam videos Strong background in signal processing , noise reduction, and ROI selection Ability to write production-grade Python code and deploy AI inference services Experience optimizing models for inference (quantization, pruning, ONNX) Nice to Have Experience with real-time WebRTC or webcam processing Familiarity with ML pipelines (MLflow, ClearML, SageMaker) Experience with face tracking (MediaPipe FaceMesh, dlib landmarks) Familiarity with multi-modal emotion detection (face + voice) Knowledge of privacy-preserving AI methods (differential privacy, edge inference) What Youll Own Accurate real-time facial emotion AI module Vital signs (SpO/BPM) module with acceptable medical-grade error margins Robust backend integration for WebSocket/webcam flow Scalable AI deployment strategy for 10K 1M users

Posted 3 days ago

Apply

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.