Job description

12% of total manufacturing cost is tied to quality inspection. Over 17 billion hours are wasted on manual visual checks annually. Legacy computer vision solutions haven’t solved this—not because they lack AI, but because they require static, rigid environments that don’t reflect the real-world dynamics of a factory floor. Loopr is changing the game. Our product, LooprIQ, is the first industrial-grade, mobile, real-time visual inspection platform built for unstructured video—360° dynamic inspection that works in the real world, on real objects, with real impact. Already: 1,000,000+ inspections run 40,000+ defects identified 10,000+ manual hours saved We are seeking a highly skilled and motivated ML Engineer to join our AI team. You will play a key role in leading the implementation and development of ML infrastructure and computer vision algorithms and techniques, to power LooprIQ Inspect which solves complex problems of our customers in the manufacturing and aerospace industries. You will also play a key role in guiding the direction of the company with cutting-edge development and innovation to help create other powerful solutions for our customers outside of this application. If you are excited to work on these technologies and have proven experience in developing and deploying production grade computer vision and ML algorithms then we'd love to connect with you. You will have end to end design, development and delivery ownership of key components. Please note: This role requires candidates to have existing US Citizenship or Permanent Residence (Green Card) Responsibilities: • Design and train deep learning models for object detection, image segmentation, and image classification tasks. • Collaborate with cross-functional teams to understand project requirements and provide technical expertise in computer vision. • Use Azure & ML Flow services to orchestrate complex computer vision pipelines and workflows for large-scale data processing and to track, manage, and reproduce experiments and models, ensuring reproducibility and scalability. • Integrate computer vision models into production application using Python libraries and other relevant technologies. • Optimize computer vision models for performance, efficiency, and accuracy on various hardware platforms, including server and edge deployments. • Stay up to date with the latest advancements in computer vision and machine learning research to enhance the company's capabilities. • Collaborate with clients and stakeholders to understand their needs, propose solutions, and deliver results that meet their requirements. Minimum Requirements: • Bachelor’s, Master's, or PhD in Computer Science, Informatics, Physics, or a related field. • 7+ years of proven experience in computer vision, deep learning, and image processing, with a strong portfolio of projects. Experience in manufacturing or manufacturing adjacent industries is preferred. • High level of Python proficiency, experience with relevant computer vision libraries (e.g., OpenCV, TensorFlow, PyTorch), and proficiency with Linux/bash • Experience building, deploying, and maintaining production ML systems. • Experience with cloud platforms, especially Azure, for deploying and scaling computer vision models. • Knowledge of containerization technologies (e.g., Docker, Kubernetes) for deploying computer vision models. • Strong problem-solving skills and the ability to work on challenging computer vision tasks, while ensuring the right tools are used for the given task. • Independent and self-driven with the ability to bring crazy ideas and innovation to the company, not just technical skills. • Excellent communication skills and the ability to collaborate effectively with cross-functional teams and clients. Joining Loopr AI offers an exciting opportunity to work with a dynamic team at the forefront of computer vision technology. You will have the chance to contribute to cutting-edge projects, collaborate with industry experts, and make a significant impact in solving real-world challenges using computer vision techniques.

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