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Junior Data Scientist role at digitap building computer vision models (object detection, OCR, image classification) for fintech and document intelligence applications using deep learning frameworks like PyTorch, working on data preparation, model training, and production deployment with senior data scientists.
A 6-month, full-time, on-site internship at Noise's Gurgaon office for a versatile tech intern who builds web, Android/iOS, and AI/ML features (LLMs, vision, signal processing) while contributing to full-stack development and R&D experiments using Python, JS/TS, React/Node/Flutter, and cloud AI tools.
En Indra Group , protegemos lo que más importa. Somos una de las principales compañías globales de tecnología y defensa, líder en el desarrollo de soluciones innovadoras para los sectores de Defensa, Gestión del…
Develop and maintain production ML/computer vision systems that sort thousands of batteries per hour using PyTorch and OpenCV, integrating with factory hardware while monitoring model performance and collaborating across engineering and manufacturing teams.
Designs and builds automation software to control ultra-precise optical alignment systems and nano-positioners for quantum computing hardware, using Python/C++ and motion-control libraries.
Build the onboard perception system for an all-electric air taxi, fusing camera, lidar, and radar data to detect obstacles and enable precision landings in real time.
Who we are Neros is a defense technology company rebuilding America’s drone industrial base. We design and manufacture high-performance unmanned systems that are tested in combat, iterated at startup speed, and built…
VinFast is a pioneering electric vehicle (EV) company committed to revolutionizing the automotive industry with sustainable and innovative mobility solutions. As a leading player in the EV market, VinFast is dedicated…
Lead a team of data scientists to build and deploy AI models for ad-quality verification, focusing on computer vision, NLP, and multimodal pipelines at massive scale with strict latency and cost constraints.
Build real-time and asynchronous video pipelines for military systems, integrating camera hardware, video formats, and AI-powered processing for command and control.
Leads the integration and deployment of advanced perception models into production ADAS and autonomous driving systems, optimizing performance on automotive-grade hardware using C++, Python, CUDA, and TensorRT.
Digifloat is hiring a Computer Vision Engineer in Islamabad to design, build, and deploy deep learning models for image and video tasks such as object detection, segmentation, OCR, and facial recognition. Core stack includes Python, PyTorch/TensorFlow/Keras, and OpenCV, with production deployment and model optimization.
We are hiring a highly skilled Senior AI Engineer / Agentic AI Engineer with strong experience delivering enterprise-scale AI solutions in Banking or Financial Services. The ideal candidate will have hands-on expertise…
Hands-on technical lead at Emirates Group IT designing and delivering scalable, secure AI computer-vision solutions (multi-camera detection, tracking, Re-ID, 3D vision) with GPU-accelerated inference and real-time video analytics. Core stack: Python/C/Java/NodeJS microservices, PyTorch, OpenCV, ONNX, TensorRT/CUDA, DeepStream, GStreamer, and AWS/Azure/GCP.
Verify hardware, software, and performance quality for automotive systems like ECUs and IVI using Appium, adb, and manual testing.
Regulus is an agile defense-tech startup tackling the most complex challenges in counter-drone and uncrewed defense. With hundreds of combat-proven systems deployed by the IDF and global partners, we are now…
Develops and optimizes C++ video-processing algorithms for embedded drone systems, working with computer vision and high-performance computing on Linux-based platforms.
Develop software for autonomous drones, building computer‑vision pipelines, AI detection, ROS 2 navigation, and embedded Linux deployments, testing code on real UAVs and simulators using C++, Python, OpenCV, NVIDIA Jetson, Docker, Gazebo and Isaac Sim.
Junior machine learning engineer building and improving computer vision models (YOLO-based object detection/classification) that turn store shelf photos into merchandising insights like SKU detection and planogram compliance. Day to day: training and fine-tuning models, tracking experiments in MLFlow, managing labelling pipelines, and serving models via Triton and Flask.
Designs and builds the automated testing infrastructure for slot game development: C# test suites for game logic and math models, OpenCV-based visual validation, and AI/ML anomaly detection, all wired into CI/CD pipelines to support regulatory certification (GLI/BMM). Requires 5+ years of QA automation with hands-on C#. 100% remote or from a global office.
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