About Us : We are an innovative company revolutionising retail checkout experiences by replacing traditional barcodes with cutting-edge Computer Vision technology. Our platform enables seamless, faster, and smarter checkout processes, enhancing the shopping experience for both retailers and consumers. We're growing rapidly and are looking for an experienced Android/Cross-Platform App Developer to join our team and help us build the future of retail technology. Key Responsibilities: Lead the research, design, and development of advanced computer vision models for tasks like object detection, tracking, segmentation, OCR, scene understanding, and 3D vision. Translate business needs into scalable scientific solutions using state-of-the-art deep learning and classical computer vision techniques. Design and implement experiments to evaluate performance, robustness, and accuracy of CV models in real-world production scenarios. Collaborate with cross-functional teams including software engineering, product, and data teams to integrate vision models into applications Drive innovation through internal IP generation (patents, publications) and contribute to the long-term AI/ML roadmap. Provide scientific and technical leadership, mentoring junior scientists and reviewing designs and architectures. Stay up to date with latest developments in AI, deep learning, and computer vision through academic and industrial research.e with industry best practices and emerging technologies to drive continuous improvement. Qualifications: M.S. or Ph.D. in Computer Science, Electrical Engineering, or a related field with specialization in Computer Vision or Machine Learning. 5+ years of hands-on experience in building and deploying production-grade computer vision models. Strong theoretical background and applied experience in deep learning frameworks (e.g., PyTorch) and model architectures (e.g., CNNs, Vision Transformers, Diffusion Models). Experience in working with large-scale datasets, training pipelines, and performance evaluation metrics. Proficiency in Python and scientific computing libraries (e.g., NumPy, OpenCV, scikit-learn). Experience with model optimization for edge deployment (ONNX, TensorRT, pruning/quantization) is a strong plus. Strong written and verbal communication skills, with a track record of mentoring and collaboration. Preferred Qualifications: Experience with computer vision in real-time systems (e.g., AR/VR, robotics, automotive, surveillance). Published research papers in top-tier conferences (CVPR, ICCV, NeurIPS, etc.). Exposure to MLOps or ML model lifecycle in production environments. Familiarity with cloud platforms (AWS/GCP/Azure) and containerization tools (Docker, Kubernetes) and basic bash scripting.
Job Title "Rust Developer at RadiusAI, based out of Bengaluru - On-site Role" Company Details RadiusAI revolutionizes retail with AI-driven solutions such as Assisted Checkout and Real-time Inventory Management to optimize ROI and enhance customer experiences. Renowned for deploying scalable computer vision analytics, RAI operates across multiple global locations, earning accolades from NVIDIA, Lenovo, and Insight. Job Roles & Responsibilities - Develop backend features using Rust and Python to support AI-driven retail solutions. - Collaborate with cross-functional teams to integrate computer vision technologies. - Optimize and enhance real-time inventory management systems. - Ensure high performance and reliability of AI-assisted checkout systems. - Maintain and improve scalable backend architecture for global deployments. - Troubleshoot and resolve complex technical issues efficiently. - Contribute to continuous improvement processes and code quality standards. Cultural Expectations - Collaborate effectively with global teams across Bellevue, Tempe, Turkey, and India. - Embrace innovative AI solutions to enhance retail customer experiences. - Exhibit flexibility and adaptability in a fast-paced, evolving environment. - Communicate proactively and transparently with team members. Hiring Process R1: Profile Shortlisting R2: Tech interview 1 R3: Tech interview 2 R4: Founder interview Show more Show less
Job Title "Backend Engineer at RadiusAI, based out of Bengaluru - Onsite Role" Company Details RadiusAI, based in Tempe, Arizona, revolutionizes retail with AI-driven solutions like Assisted Checkout and Real-time Inventory Management, enhancing customer experiences. It's recognized by NVIDIA and others for deploying large-scale interior and exterior retail analytics. Job Roles & Responsibilities - Develop and maintain backend services using Python, ensuring robust architecture and scalable solutions for AI-driven retail applications. - Collaborate with cross-functional teams to integrate backend algorithms with front-end interfaces for seamless customer experiences. - Implement data processing and analysis systems, contributing to real-time inventory management and other analytics solutions. - Ensure system security and data privacy, adhering to industry best practices and company standards. - Optimize and refactor codebase to improve performance and maintainability. - Troubleshoot and resolve backend issues, maintaining system reliability. - Document technical specifications and project progress for team collaboration and future reference. Cultural Expectations - Collaborate cross-functionally to integrate AI solutions into backend systems. - Embrace innovation and drive results in a fast-paced AI environment. - Ensure high code quality and performance for real-time analytics. - Communicate effectively in a diverse, global team setting. Hiring Process R1: Profile Shortlisting R2: Tech interview 1 R3: Tech interview 2 R4: Founder interview Show more Show less
You will be joining an innovative company that is revolutionizing retail checkout experiences by utilizing cutting-edge Computer Vision technology to replace traditional barcodes. Our platform aims to create seamless, faster, and smarter checkout processes, enhancing the shopping experience for both retailers and consumers. As we are growing rapidly, we are seeking an experienced Android/Cross-Platform App Developer to be a part of our team and help in shaping the future of retail technology. As a Senior Data Engineer, you will be an integral part of our expanding data team. Your primary responsibilities will involve building and optimizing data infrastructure, pipelines, and tooling to support analytics, machine learning, and product development. This role requires a strong background in cloud-native data engineering, a passion for scalable systems, and the ability to work independently with minimal supervision. Key Responsibilities: - Design, build, and maintain scalable data pipelines and ETL/ELT workflows using tools such as Kestra or Prefect. - Architect and manage cloud-based data infrastructure utilizing platforms like Snowflake, MySQL, and LanceDB. - Implement and uphold data quality, lineage, and governance best practices. - Collaborate with analytics, BI, and product teams to establish data models for reporting, experimentation, and operational use cases. - Optimize query performance, storage costs, and data reliability across various platforms. - Oversee data ingestion from internal and external systems through APIs, CDC, or streaming technologies like Kafka and MQTT. - Develop automated data validation, testing, and monitoring frameworks to ensure data integrity. - Contribute to infrastructure-as-code and deployment processes using CI/CD pipelines and version control systems like Git. - Capable of working independently and driving projects forward with minimal supervision. Skills and Qualifications: - 5+ years of experience as a data engineer or software engineer in large-scale data systems. - Proficiency in SQL, Python, and modern data transformation frameworks. - Hands-on experience in building and maintaining production-level ETL/ELT pipelines. - Familiarity with cloud data warehouses like Snowflake and RedPanda Cloud. - Expertise in workflow orchestration tools such as Airflow, Kestra, or Prefect. - Understanding of data modeling techniques like dimensional modeling and normalization. - Experience with cloud platforms such as AWS and Azure for data infrastructure and services. - Ability to work independently and lead projects with minimal guidance. Nice to Have: - Experience with streaming data technologies, specifically RedPanda. - Knowledge of data security, privacy, and compliance practices including GDPR and HIPAA. - Background in DevOps for data, encompassing containerization and observability tools. - Previous involvement in a Retail or e-commerce data environment. Software Qualifications: - Languages: Python, SQL, Rust - Data Warehousing: Snowflake, MySQL - ETL/ELT Orchestration Tools: Kestra, Prefect - Version Control & CI/CD: Git, GitHub Actions - Orchestration & Infrastructure: Docker, Kubernetes, Redpanda, Cloudflare - Monitoring: OpenobserveAI, Keep Why Join Us : - Become part of a forward-thinking company shaping the future of retail technology. - Collaborate with a dynamic and innovative team that values creativity. - Opportunity to contribute to cutting-edge projects and enhance your skills. - Competitive salary and benefits package. - Enjoy a flexible work environment with opportunities for career growth.,
Are you a creative visionary with a flair for front-end development and a passion for crafting exceptional user experiences RadiusAI is looking for a talented and experienced Front-End Developer and UI/UX Designer to join our innovative team. In this role, you will play a key part in designing and building intuitive, visually stunning interfaces for our cutting-edge products and services. If you're ready to collaborate with cross-functional teams and leave your mark on the user experience, we want to hear from you! To be eligible for this position, you should have at least 4 years of experience in the field. A minimum qualification of a Bachelor's degree in Design/Technology or an equivalent field is required. The ideal candidate should be proficient in various tools including Figma, Photoshop, Prototyping Tools (e.g., InVision, Marvel, ProtoPie), and Collaboration Tools (e.g., Zeplin, Abstract, Miro). Additionally, having a basic understanding of HTML/CSS is essential for effective communication with developers. It would be advantageous if you have experience with Sketch or Adobe XD, as familiarity with other design tools can be a plus. Knowledge of CAD is also considered a good-to-have skill. Key skills for this role include wireframe creation, UI design, UX research, usability testing, design system creation, interaction design, responsive and adaptive design, accessibility (a11y), and a continuous learning mindset. You should be able to create aesthetically pleasing designs with a strong focus on user experience, typography, color theory, and visual hierarchy. Conducting user research, interviews, surveys, and usability testing are integral parts of this role. Additionally, you should be capable of designing interfaces for various devices and screen sizes, following mobile-first and responsive design principles. Designing with accessibility in mind and ensuring usability for people with disabilities, in line with WCAG guidelines, is a crucial aspect of this position. A passion for staying up-to-date with design trends, tools, and best practices, as well as an eagerness to expand skills through learning new tools or diving deeper into UX research, are highly valued. A well-curated portfolio that showcases a range of projects, including the design process, decision-making, and final outcomes, is required to demonstrate your expertise in the field. If you are enthusiastic about creating innovative and user-centric designs while continuously learning and growing in the field of UI/UX, we encourage you to apply for this exciting opportunity at RadiusAI.,
About Us : We are an innovative company revolutionising retail checkout experiences by replacing traditional barcodes with cutting-edge Computer Vision technology. Our platform enables seamless, faster, and smarter checkout processes, enhancing the shopping experience for both retailers and consumers. We're growing rapidly and are looking for an experienced Android/Cross-Platform App Developer to join our team and help us build the future of retail technology. Key Responsibilities: Lead the research, design, and development of advanced computer vision models for tasks like object detection, tracking, segmentation, OCR, scene understanding, and 3D vision. Translate business needs into scalable scientific solutions using state-of-the-art deep learning and classical computer vision techniques. Design and implement experiments to evaluate performance, robustness, and accuracy of CV models in real-world production scenarios. Collaborate with cross-functional teams including software engineering, product, and data teams to integrate vision models into applications Drive innovation through internal IP generation (patents, publications) and contribute to the long-term AI/ML roadmap. Provide scientific and technical leadership, mentoring junior scientists and reviewing designs and architectures. Stay up to date with latest developments in AI, deep learning, and computer vision through academic and industrial research.e with industry best practices and emerging technologies to drive continuous improvement. Qualifications: M.S. or Ph.D. in Computer Science, Electrical Engineering, or a related field with specialization in Computer Vision or Machine Learning. 5+ years of hands-on experience in building and deploying production-grade computer vision models. Strong theoretical background and applied experience in deep learning frameworks (e.g., PyTorch) and model architectures (e.g., CNNs, Vision Transformers, Diffusion Models). Experience in working with large-scale datasets, training pipelines, and performance evaluation metrics. Proficiency in Python and scientific computing libraries (e.g., NumPy, OpenCV, scikit-learn). Experience with model optimization for edge deployment (ONNX, TensorRT, pruning/quantization) is a strong plus. Strong written and verbal communication skills, with a track record of mentoring and collaboration. Preferred Qualifications: Experience with computer vision in real-time systems (e.g., AR/VR, robotics, automotive, surveillance). Published research papers in top-tier conferences (CVPR, ICCV, NeurIPS, etc.). Exposure to MLOps or ML model lifecycle in production environments. Familiarity with cloud platforms (AWS/GCP/Azure) and containerization tools (Docker, Kubernetes) and basic bash scripting.
You will be responsible for leading the research, design, and development of advanced computer vision models for tasks such as object detection, tracking, segmentation, OCR, scene understanding, and 3D vision. You will need to translate business requirements into scalable scientific solutions by utilizing cutting-edge deep learning and classical computer vision techniques. Additionally, you will design and conduct experiments to assess the performance, robustness, and accuracy of computer vision models in real-world production settings. Collaborating with cross-functional teams, including software engineering, product, and data teams, to integrate vision models into applications is also a key part of your role. Moreover, you will drive innovation through internal IP generation, such as patents and publications, and contribute to the long-term AI/ML roadmap. Providing scientific and technical leadership, mentoring junior scientists, and reviewing designs and architectures will be essential. Staying updated with the latest advancements in AI, deep learning, and computer vision through academic and industrial research is crucial to ensure alignment with industry best practices and emerging technologies. Qualifications: - M.S. or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on Computer Vision or Machine Learning. - 5+ years of practical experience in developing and deploying production-grade computer vision models. - Profound theoretical knowledge and practical experience with deep learning frameworks like PyTorch, as well as model architectures such as CNNs, Vision Transformers, and Diffusion Models. - Experience in handling large-scale datasets, training pipelines, and evaluating model performance metrics. - Proficiency in Python and scientific computing libraries like NumPy, OpenCV, and scikit-learn. - Experience with model optimization for edge deployment (e.g., ONNX, TensorRT, pruning/quantization) is advantageous. - Strong communication skills, both written and verbal, along with a history of mentoring and collaboration. Preferred Qualifications: - Experience working with computer vision in real-time systems such as AR/VR, robotics, automotive, or surveillance. - Published research papers in esteemed conferences like CVPR, ICCV, NeurIPS, etc. - Exposure to MLOps or ML model lifecycle in production settings. - Familiarity with cloud platforms like AWS/GCP/Azure, containerization tools such as Docker and Kubernetes, and basic bash scripting.,
About Us : We are an innovative company revolutionising retail checkout experiences by replacing traditional barcodes with cutting-edge Computer Vision technology. Our platform enables seamless, faster, and smarter checkout processes, enhancing the shopping experience for both retailers and consumers. We're growing rapidly and are looking for an experienced Android/Cross-Platform App Developer to join our team and help us build the future of retail technology. Key Responsibilities: Lead the research, design, and development of advanced computer vision models for tasks like object detection, tracking, segmentation, OCR, scene understanding, and 3D vision. Translate business needs into scalable scientific solutions using state-of-the-art deep learning and classical computer vision techniques. Design and implement experiments to evaluate performance, robustness, and accuracy of CV models in real-world production scenarios. Collaborate with cross-functional teams including software engineering, product, and data teams to integrate vision models into applications Drive innovation through internal IP generation (patents, publications) and contribute to the long-term AI/ML roadmap. Provide scientific and technical leadership, mentoring junior scientists and reviewing designs and architectures. Stay up to date with latest developments in AI, deep learning, and computer vision through academic and industrial research.e with industry best practices and emerging technologies to drive continuous improvement. Qualifications: M.S. or Ph.D. in Computer Science, Electrical Engineering, or a related field with specialization in Computer Vision or Machine Learning. 5+ years of hands-on experience in building and deploying production-grade computer vision models. Strong theoretical background and applied experience in deep learning frameworks (e.g., PyTorch) and model architectures (e.g., CNNs, Vision Transformers, Diffusion Models). Experience in working with large-scale datasets, training pipelines, and performance evaluation metrics. Proficiency in Python and scientific computing libraries (e.g., NumPy, OpenCV, scikit-learn). Experience with model optimization for edge deployment (ONNX, TensorRT, pruning/quantization) is a strong plus. Strong written and verbal communication skills, with a track record of mentoring and collaboration. Preferred Qualifications: Experience with computer vision in real-time systems (e.g., AR/VR, robotics, automotive, surveillance). Published research papers in top-tier conferences (CVPR, ICCV, NeurIPS, etc.). Exposure to MLOps or ML model lifecycle in production environments. Familiarity with cloud platforms (AWS/GCP/Azure) and containerization tools (Docker, Kubernetes) and basic bash scripting.