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

3.0 - 8.0 years

10 - 20 Lacs

Noida

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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

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Senior Python Developer - Ahmedabad Dainik Bhaskar Group

5.0 - 9.0 years

15 - 22 Lacs

Ahmedabad

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Job Details: Results-oriented and technically proficient Senior Python Developer with 6 to 8 years of hands-on experience in backend development using Django framework . Proven expertise in designing and building scalable web applications, robust RESTful APIs, AI-driven solutions, and content management systems (CMS). Adept at image and video processing, system integration, and working in cross-functional teams. Skilled at collaborating directly with frontend developers, DevOps engineers, and business stakeholders to deliver value-driven solutions aligned with organizational goals. Core Competencies: Backend Development : Python, Django, Django Rest Framework (DRF), Flask API Development : RESTful APIs, GraphQL, AI/ML Integration : OpenCV, TensorFlow, PyTorch, scikit-learn Image & Video Processing : OpenCV, PIL, FFmpeg, MediaPipe Databases : PostgreSQL, MySQL, SQLite, MongoDB Cloud & DevOps : GCP, Docker, Git Frontend Collaboration : HTML, CSS, JavaScript, React (basic) Tools : Postman, Swagger, GitHub Project Management : Agile/Scrum, Jira Roles & Responsibilities: Develop and maintain scalable web applications using Python and Django . Design and implement RESTful APIs and backend services for web/mobile applications. Build and integrate AI and ML components , especially in image classification, face/object detection, or recommendation systems. Work with image and video processing tools to support media-rich applications. Develop and manage CMS-based platforms using Django-CMS or Wagtail. Collaborate with frontend developers to deliver seamless user experiences. Coordinate directly with product owners and business teams to understand requirements and propose effective solutions. Optimize application performance, ensure security best practices, and manage deployment pipelines. Lead and mentor junior developers, review code, and drive project delivery. Professional Experience: 6 to 8 years of solid experience in full-stack or backend-focused development roles. Proven experience working on AI/ML modules, media processing, and CMS-driven platforms. Educational Qualification: Bachelors or Masters degree in Computer Science / IT or related technical field.

Posted 1 month ago

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