Job
Description
We are developing next-generation, AI-powered solutions focused on transforming surveillance and authentication systems. Our work is at the forefront of revolutionizing security by moving away from traditional password-based authentication in favor of cutting-edge biometric and AI-driven technologies. You will play a key role in designing and implementing solutions that enable real-time, intelligent analysis of surveillance camera feeds, enhancing security systems with advanced features like facial recognition, behavior analysis. This is an exciting opportunity to contribute to a rapidly evolving field, where your innovations will drive the future of authentication and surveillance technologies, improving security on a global scale. Qualifications : Master s degree or equivalent experience (preferred) in Computer Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning, Computer Vision, Operations Research, or a related field. 6+ years for Masters, or demonstrated experience in designing, implementing, and deploying machine learning models in production. Practical experience designing and deploying distributed systems using microservices architecture and APIs with frameworks like Spring Boot (Java). Experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure, and containerization (Docker, Kubernetes). Knowledge of machine learning techniques, statistical models, and performance tuning. Expertise in Java, Python, C++ . Strong understanding of data structures, algorithms, and problem-solving skills Design, develop, and implement AI and machine learning models for real-time surveillance analysis, such as facial recognition, object detection, and behavior analysis. Develop and optimize biometric authentication systems using techniques like facial recognition, voice recognition, or fingerprint scanning. Manage and optimize Oracle Kubernetes Engine (OKE) infrastructure to securely host and scale AI models, ensuring seamless deployment, high availability, and efficient resource utilization for real-time surveillance and authentication solutions. Continuously monitor and improve the performance of AI models, focusing on accuracy, speed, and efficiency of real-time analysis. Optimize algorithms for lower latency, better scalability, and robust performance in varying conditions. Stay up-to-date with the latest advancements in AI, machine learning, biometric technologies, and surveillance systems. Proactively research new technologies, methodologies, and tools that can be integrated to improve the capabilities of the solution. Maintain thorough documentation of AI models, system architectures, and processes for future development and regulatory compliance. Provide regular updates on project progress, challenges, and results to management and stakeholders. Troubleshoot and provide technical support for deployed systems, helping to resolve any performance or integration issues quickly.
