7 Mediapipe Jobs

Company Description Shoplinky is a platform that enables content creators to monetize their content through personalized storefronts, AI-driven brand collaborations, seamless monetization options and social media automations. For brands, Shoplinky offers AI-powered features to integrate products into organic content that drives sales and builds trust. Shoplinky aims to create a community where creators, brands, and audiences collaborate to make commerce more engaging and rewarding. Role Responsibilities Participate in developing computer vision models for object detection, scene segmentation, and tracking in video content Implement motion-aware logic for placing 3D objects accurately in dynamic video scenes Build video processing workflows for analyzing frames and applying virtual product overlays Contribute to NLP and recommendation models for suggesting relevant products based on content context Collaborate with 3D and platform teams to support rendering and positioning of assets in real time Engage in testing, debugging, and optimizing AI models. Participate in model evaluation and dataset handling for iterative improvements Work closely with developers and the team Qualifications Foundational knowledge of Computer Vision, 3D geometry and motion tracking Exposure to object detection, pose estimation, or scene understanding (OpenCV, Mediapipe, etc.) Familiarity with 3D formats or engines (e.g., GLTF, Three.js, Unity, Blender) Proficient in Python and basic experience with ML libraries (e.g., PyTorch, TensorFlow) Bonus: exposure to NeRFs, SLAM, or AR/VR projects Bachelors degree in Computer Science, AI, or related field (or pre-final year student with bold understanding about the skillset mentioned) Experience in integrating Generative AI Models. Enthusiastic learner with strong problem-solving skills and interest in content + commerce AI Interested candidates, please share your resumes at [HIDDEN TEXT] Show more Show less

Are you passionate about computer vision, augmented reality, and deep learning Join us as an intern and gain hands-on experience in a fast-growing company where you'll contribute directly to cutting-edge projects. We are seeking a dedicated individual to assist in the development and training of a Virtual Try-On (VTO) system for wristwatches. About Us: We are disrupting the interior shopping business by adding another dimension to the sales process through augmented reality (AR) and 3D visualization. Our fundamental drive is seeing is believing, and that's exactly what we're doing with Web AR. We're helping clients make more informed decisions by allowing them to visualize products in real-world environments, a shift we call smart shopping. As we experience significant growth, we're expanding our team with talented individuals who have an eye for detail and the ability to thrive under deadlines. You'll work closely with our production manager and 3D modelers, ensuring that the products we create in AR correlate fully with our clients" expectations. Responsibilities: - Collaborate with our engineering and production team to build and refine VTO models. - Assist in the development and training of machine learning models, particularly in computer vision applications. - Work with 3D visualization to ensure the accurate rendering and alignment of models in AR environments. - Optimize model performance for real-time user interactions. Required Skills: - Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch). - Experience with computer vision libraries (e.g., OpenCV, Mediapipe). - Knowledge of 3D geometry, pose estimation, and object detection. - Familiarity with augmented reality development tools and frameworks. - Strong understanding of convolutional neural networks (CNNs) and model training techniques. - Experience working with datasets for image processing and custom landmark detection. - Attention to detail and ability to work collaboratively under deadlines. Preferred Qualifications: - JavaScript experience, particularly for integrating AR/VR solutions into web environments. - Prior experience in building virtual try-on (VTO) systems or related AR applications. - Familiarity with real-time inference optimization and model compression techniques. - Knowledge of wrist landmark detection and training custom models for body part tracking. What We Offer: - An opportunity to work in a dynamic, growth-driven environment. - Hands-on experience with innovative technology in augmented reality. - Mentorship from experienced professionals in computer vision and AR. - A platform to sharpen your skills and contribute to exciting real-world applications. THIS IS AN UNPAID INTERNSHIP THAT OFFERS AN EXCELLENT LEARNING OPPORTUNITY WITH REAL-WORLD IMPACT AND EXPOSURE TO CUTTING-EDGE TECHNOLOGY. ONLY APPLICANTS WHO CAN WORK ONSITE SHOULD APPLY.,

At Peak Medical, our mission is to make rehabilitation smarter, more accessible, and deeply human. We are building BIBO, a clinically validated, AI-powered platform that helps people recover from surgery and manage pain safely at home, mirroring the care of a physiotherapist. It is the first product to go through a high regulatory class to be able to instruct patients at home, with live, clinical advice. This is a significant advancement in Healthcare access. We are a small, smart, agile team located across Australia and India, dedicated to building the next generation of digital musculoskeletal care. Our focus is on providing real-time insights and motion analysis that lead to recovery, reducing the reliance on clinic visits. Our pilot partners and end customers span across Australia and India. We are currently seeking a Senior Computer Vision Engineer with a minimum commitment of 4 years to join our team. As a key member, you will be responsible for leading the development and refinement of our AI motion tracking pipeline, with specific expertise in pose estimation and mobile deployment. This role offers the opportunity to work closely with our product and clinical teams and be part of a passionate and focused team. Key Responsibilities: - Architect and develop real-time pose estimation solutions using tools like MediaPipe and BlazePose. - Build, test, and refine computer vision models integrated into mobile workflows. - Work across platforms such as Flutter, MediaPipe, TFLite, and Python-based toolkits. - Optimize models for low-latency inference on mobile devices. - Lead and implement product architecture. - Conduct research and development on motion accuracy, error handling, and safety thresholds. - Collaborate with cross-functional teams across different time zones (Australia/India). - Contribute to product strategy and user-centric design for at-home care. - Perform model optimization (quantization, pruning) for real-time performance on mobile. Requirements: - 6+ years of experience in AI/ML with a focus on Computer Vision. - Experience in Healthcare, Fitness, Physiotherapy, Medical, or Movement Industries. - Proven ability to build, deploy, and iterate CV models in production environments. - Expertise in MediaPipe, TFLite, EDGE computing, real-time model inference, and pose estimation models. - A builders mindset with a passion for leading CV development in a mission-driven startup. - Experience working with mobile-first health tech or real-time movement data is a plus. - Proficiency in Flutter/Dart, Kotlin, Swift, TensorFlow, and Python. - Comfortable working both independently and collaboratively in a small team. - Experience fine-tuning pre-trained models and deploying them in production apps. - Ability to devise a data set training strategy to enhance model performance. - Experience with AI-powered data analytics and visualization. This position offers great remuneration and ESOP. Join us on this journey where your vision can drive the movement that disrupts Healthcare. Apply now to be part of our team at Peak Medical.,

As a high-impact AI/ML Engineer, you will lead the design, development, and deployment of machine learning and AI solutions across vision, audio, and language modalities. You will be an integral part of a fast-paced, outcome-oriented AI & Analytics team, collaborating with data scientists, engineers, and product leaders to translate business use cases into real-time, scalable AI systems. Your responsibilities in this role will include architecting, developing, and deploying ML models for multimodal problems encompassing vision, audio, and NLP tasks. You will be responsible for the complete ML lifecycle, from data ingestion to model development, experimentation, evaluation, deployment, and monitoring. Leveraging transfer learning and self-supervised approaches where appropriate, you will design and implement scalable training pipelines and inference APIs using frameworks like PyTorch or TensorFlow. Collaborating with MLOps, data engineering, and DevOps teams, you will operationalize models using technologies such as Docker, Kubernetes, or serverless infrastructure. Continuously monitoring model performance and implementing retraining workflows to ensure sustained accuracy over time will be a key aspect of your role. You will stay informed about cutting-edge AI research and incorporate innovations such as generative AI, video understanding, and audio embeddings into production systems. Writing clean, well-documented, and reusable code to support agile experimentation and long-term platform development is an essential part of this position. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field, with a minimum of 5-8 years of experience in AI/ML Engineering, including at least 3 years in applied deep learning. In terms of technical skills, you should be proficient in Python, with knowledge of R or Java being a plus. Additionally, you should have expertise in ML/DL Frameworks like PyTorch, TensorFlow, and Scikit-learn, as well as experience in Computer Vision tasks such as image classification, object detection, OCR, segmentation, and tracking. Familiarity with Audio AI tasks like speech recognition, sound classification, and audio embedding models is also desirable. Strong capabilities in Data Engineering using tools like Pandas, NumPy, SQL, and preprocessing pipelines for structured and unstructured data are required. Knowledge of NLP/LLMs, Cloud & MLOps services, deployment & infrastructure technologies, and CI/CD & Version Control tools are also beneficial. Soft skills and competencies that will be valuable in this role include strong analytical and systems thinking, effective communication skills to convey models and results to non-technical stakeholders, the ability to work cross-functionally with various teams, and a demonstrated bias for action, rapid experimentation, and iterative delivery of impact.,

You will be responsible for building and maintaining backend logic in PHP (CodeIgniter) and Python (Flask, FastAPI, etc.). Additionally, you will design and implement computer vision workflows using tools such as OpenCV, YOLOv8, MediaPipe, or equivalent tools. Your tasks will involve working with image/video inputs to perform real-time detection of various elements like faces, objects, license plates, hazards, etc. Furthermore, you will integrate with third-party APIs, IoT devices, and edge-based platforms such as Jetson Nano, Raspberry Pi. It will be crucial for you to optimize vision pipelines for enhanced performance, accuracy, and reliability. Your role will also include deploying and enhancing full-stack solutions. To excel in this position, you should hold a Bachelor's degree and possess a minimum of 3 years of hands-on experience with PHP and Python. Demonstrated expertise with OpenCV and YOLO (v5/v8 preferred) is essential. A strong understanding of image processing, video analytics, and real-time detection is required. Proficiency in Linux environments, Git, and REST APIs is expected. Familiarity with edge AI, ONNX, or experience in deploying models on Jetson/Raspberry Pi will be advantageous. Knowledge of object tracking, counting, pose estimation, etc., will also be beneficial for this role.,

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

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.