Senior AI Engineer Computer Vision and Azure Cloud

As a Senior AI Engineer specializing in Computer Vision and Azure Cloud at INNOFarms.AI, you will have the opportunity to contribute to the future of sustainable farming utilizing cutting-edge technologies such as AI, Computer Vision, and IoT. Your role will involve shaping a global AgriTech platform that plays a vital role in enhancing food security and climate resilience. Your responsibilities will include designing and implementing advanced computer vision systems for object detection, segmentation, and multi-head tracking models. You will be tasked with building and managing scalable data pipelines from various field and sensor datasets, as well as integrating computer vision models with robotics, drones, and IoT systems. Leveraging Azure Cloud services such as IoT Hub, Functions, CosmosDB, and Event Hubs will be essential for deploying production-grade models. You will be expected to continuously optimize algorithms to enhance speed, accuracy, and edge performance, while also collaborating on the architecture of INNOFarms.AI's Azure-powered smart farming platform. Ensuring the security and compliance of AI systems with ethics, data privacy, and global standards will be a critical aspect of your role. Additionally, you will play a key part in building real-time control systems that enable autonomous decision-making in agricultural settings and work closely with business and product teams to scale AI-led features globally. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science, AI, or a related field, with at least 5 years of experience in AI, SaaS, Cloud, or IoT development. Specialized expertise in Computer Vision, particularly in object detection, tracking, and segmentation, is required. Proficiency in tools such as OpenCV, TensorFlow, PyTorch, and modern MLOps workflows, along with deep experience in Azure Cloud services, is essential. A startup mindset, experience with image data pipelines, and the ability to collaborate effectively in fast-paced environments are also key attributes. While not mandatory, a background in AgriTech, Smart Automation, or IoT-heavy ecosystems, knowledge of global data compliance, cybersecurity, and AI governance best practices, as well as experience in mentoring junior engineers or leading small teams, are considered advantageous. If you are eager to contribute to the development of a scalable, intelligent agriculture platform and be a driving force behind the AgriTech revolution, we invite you to apply now and play a crucial role in fostering sustainable innovation on a global scale at INNOFarms.AI.,